diff --git "a/data/python/0b08b8e.json" "b/data/python/0b08b8e.json" deleted file mode 100644--- "a/data/python/0b08b8e.json" +++ /dev/null @@ -1 +0,0 @@ -{"language": "Python", "id": 68, "repo_owner": "optuna", "repo_name": "optuna", "head_branch": "doc/remove-motpe-sampler-and-add-its-description-to-tpe-sampler", "workflow_name": "Sphinx", "workflow_filename": "sphinx-build.yml", "workflow_path": ".github/workflows/sphinx-build.yml", "contributor": "nabenabe0928", "sha_fail": "0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048", "sha_success": "c0834a225b9fb703b6aacb789dd822f1b4c8dd21", "workflow": "name: Sphinx\n\non:\n push:\n branches:\n - master\n pull_request: {}\n\nconcurrency:\n group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/master' && github.run_number || github.ref }}\n cancel-in-progress: true\n\njobs:\n documentation:\n\n runs-on: ubuntu-latest\n\n steps:\n\n - uses: actions/checkout@v3\n\n - uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n # note (crcrpar): We've not updated tutorial frequently enough so far thus\n # it'd be okay to discard cache by any small changes including typo fix under tutorial directory.\n - name: Sphinx Gallery Cache\n uses: actions/cache@v3\n env:\n cache-name: sphx-glry-documentation\n with:\n path: |\n tutorial/MNIST\n docs/source/tutorial\n key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/**/*') }}\n\n - name: Install Dependencies\n run: |\n python -m pip install -U pip\n pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu\n\n - name: Output installed packages\n run: |\n pip freeze --all\n - name: Output dependency tree\n run: |\n pip install pipdeptree\n pipdeptree\n\n - name: Build Document\n run: |\n cd docs\n make html\n cd ../\n\n - uses: actions/upload-artifact@v3\n with:\n name: built-html\n path: |\n docs/build/html\n\n - uses: actions/upload-artifact@v3\n with:\n name: tutorial\n path: |\n docs/source/tutorial\n\n doctest:\n\n runs-on: ubuntu-latest\n\n steps:\n\n - uses: actions/checkout@v3\n\n - uses: actions/setup-python@v4\n with:\n python-version: 3.8\n\n - name: Sphinx Gallery Cache\n uses: actions/cache@v3\n env:\n cache-name: sphx-glry-doctest\n with:\n path: |\n tutorial/MNIST\n docs/source/tutorial\n key: py3.8-${{ env.cache-name }}-${{ hashFiles('tutorial/**/*') }}\n\n - name: Install Dependencies\n run: |\n python -m pip install -U pip\n pip install --progress-bar off -U .[document] --extra-index-url https://download.pytorch.org/whl/cpu\n\n - name: Output installed packages\n run: |\n pip freeze --all\n - name: Output dependency tree\n run: |\n pip install pipdeptree\n pipdeptree\n\n - name: Run Doctest\n run: |\n cd docs\n make doctest\n", "logs": [{"step_name": "doctest/8_Run Doctest.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake doctest\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nsphinx-autogen source/**/*.rst\n[autosummary] generating autosummary for: source/reference/artifacts.rst, source/reference/cli.rst, source/reference/distributions.rst, source/reference/exceptions.rst, source/reference/importance.rst, source/reference/index.rst, source/reference/integration.rst, source/reference/logging.rst, source/reference/optuna.rst, source/reference/pruners.rst, source/reference/search_space.rst, source/reference/storages.rst, source/reference/study.rst, source/reference/terminator.rst, source/reference/trial.rst, source/tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.RegretBoundEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.StaticErrorEvaluator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.Terminator.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.TerminatorCallback.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.terminator.report_cross_validation_scores.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FixedTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.FrozenTrial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.Trial.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.TrialState.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.trial.create_trial.rst\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/generated/optuna.TrialPruned.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.DiscreteUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.FloatDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntLogUniformDistribution.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.IntUniformDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:52,260] A new study created in memory with name: no-name-ec490657-3332-406a-9faa-d6af677bbbec\n[I 2023-11-01 05:06:52,261] Trial 0 finished with value: 26.608714791257388 and parameters: {'x': -3.1583635768775924}. Best is trial 0 with value: 26.608714791257388.\n[I 2023-11-01 05:06:52,262] Trial 1 finished with value: 1.5285752915058195 and parameters: {'x': 3.2363556492796963}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,262] Trial 2 finished with value: 62.61511060819589 and parameters: {'x': -5.912971035470552}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 3 finished with value: 13.270676902855739 and parameters: {'x': -1.6428940284965385}. Best is trial 1 with value: 1.5285752915058195.\n[I 2023-11-01 05:06:52,263] Trial 4 finished with value: 0.06747860131740525 and parameters: {'x': 2.259766436087123}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 5 finished with value: 61.93462043790284 and parameters: {'x': -5.869855172612953}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,264] Trial 6 finished with value: 8.529241838009128 and parameters: {'x': 4.9204865755570815}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 7 finished with value: 6.327280416306507 and parameters: {'x': 4.515408598281104}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,265] Trial 8 finished with value: 34.87678251007827 and parameters: {'x': -3.9056568229180293}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,266] Trial 9 finished with value: 5.85614322177441 and parameters: {'x': -0.41994694606605165}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,272] Trial 10 finished with value: 41.49873929915151 and parameters: {'x': 8.441951513256795}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,277] Trial 11 finished with value: 0.08190012289686961 and parameters: {'x': 1.7138180248567887}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,282] Trial 12 finished with value: 122.27482876022076 and parameters: {'x': -9.05779493209296}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,287] Trial 13 finished with value: 0.1103268056442651 and parameters: {'x': 1.6678452083075346}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,293] Trial 14 finished with value: 1.239806570001033 and parameters: {'x': 0.8865339834548012}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,300] Trial 15 finished with value: 29.33277548813995 and parameters: {'x': 7.415974103348349}. Best is trial 4 with value: 0.06747860131740525.\n[I 2023-11-01 05:06:52,305] Trial 16 finished with value: 0.04002250139876792 and parameters: {'x': 1.7999437544119956}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,310] Trial 17 finished with value: 11.131224898493468 and parameters: {'x': 5.336349037270152}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,315] Trial 18 finished with value: 0.42213929972985975 and parameters: {'x': 2.6497224790091995}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,321] Trial 19 finished with value: 5.986613479725296 and parameters: {'x': -0.44675570495407146}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,326] Trial 20 finished with value: 23.390376393441542 and parameters: {'x': 6.836359828780479}. Best is trial 16 with value: 0.04002250139876792.\n[I 2023-11-01 05:06:52,331] Trial 21 finished with value: 0.03152288205560932 and parameters: {'x': 1.8224531553206047}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,337] Trial 22 finished with value: 2.2797419051239296 and parameters: {'x': 3.5098814208817624}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,342] Trial 23 finished with value: 60.707266557023715 and parameters: {'x': 9.79148680015719}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,347] Trial 24 finished with value: 1.9983058273111458 and parameters: {'x': 0.5863855450261037}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,352] Trial 25 finished with value: 0.27255197998168285 and parameters: {'x': 2.522065110864232}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,358] Trial 26 finished with value: 3.8339596133140934 and parameters: {'x': 3.958049951690225}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,364] Trial 27 finished with value: 15.797502171649247 and parameters: {'x': 5.974607171991875}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,369] Trial 28 finished with value: 0.036032534445352295 and parameters: {'x': 2.189822376039687}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,375] Trial 29 finished with value: 14.648704718863884 and parameters: {'x': -1.8273626322657075}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,380] Trial 30 finished with value: 1.0269261088545933 and parameters: {'x': 0.9866263725285755}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,386] Trial 31 finished with value: 0.14994724527244452 and parameters: {'x': 1.6127697774289247}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,391] Trial 32 finished with value: 2.095181403370709 and parameters: {'x': 3.4474741460111504}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,397] Trial 33 finished with value: 0.22103028406150582 and parameters: {'x': 2.470138579635309}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,402] Trial 34 finished with value: 4.808124813926069 and parameters: {'x': -0.192743672645316}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,408] Trial 35 finished with value: 2.667684266770483 and parameters: {'x': 3.633304707263921}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,414] Trial 36 finished with value: 6.223307412268121 and parameters: {'x': 4.494655770295397}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,419] Trial 37 finished with value: 10.886106074137919 and parameters: {'x': -1.2994099584831709}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,424] Trial 38 finished with value: 9.344296986739726 and parameters: {'x': 5.056844285654689}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,430] Trial 39 finished with value: 0.03674555820263529 and parameters: {'x': 2.191691309669049}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,435] Trial 40 finished with value: 0.9188229435958446 and parameters: {'x': 2.958552525214891}. Best is trial 21 with value: 0.03152288205560932.\n[I 2023-11-01 05:06:52,440] Trial 41 finished with value: 0.00034717018847745906 and parameters: {'x': 1.9813674964516987}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,446] Trial 42 finished with value: 2.619120131897846 and parameters: {'x': 0.3816304093632239}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,451] Trial 43 finished with value: 0.12683816720242805 and parameters: {'x': 1.6438565356454957}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,457] Trial 44 finished with value: 0.07131841255934805 and parameters: {'x': 2.267055074019102}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,462] Trial 45 finished with value: 4.992843783751005 and parameters: {'x': 4.234467225929037}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,467] Trial 46 finished with value: 1.2321955101630584 and parameters: {'x': 0.8899569782377539}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,473] Trial 47 finished with value: 8.882543126285444 and parameters: {'x': -0.9803595632549849}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,478] Trial 48 finished with value: 17.79971460302885 and parameters: {'x': -2.2189707990253797}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,483] Trial 49 finished with value: 3.603912201007066 and parameters: {'x': 0.10160272835028916}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,489] Trial 50 finished with value: 1.2683340411217978 and parameters: {'x': 3.1262033746716433}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,494] Trial 51 finished with value: 0.0039178234777032354 and parameters: {'x': 1.9374074806570047}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,499] Trial 52 finished with value: 0.35520398581016316 and parameters: {'x': 1.4040100791035446}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,504] Trial 53 finished with value: 0.00042813986239516116 and parameters: {'x': 1.9793084591585073}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,510] Trial 54 finished with value: 0.0020887609244023622 and parameters: {'x': 2.045702964065828}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,515] Trial 55 finished with value: 0.7737692767703207 and parameters: {'x': 2.87964156152965}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,520] Trial 56 finished with value: 0.9164401942170134 and parameters: {'x': 1.042691170929144}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,526] Trial 57 finished with value: 3.012310015670226 and parameters: {'x': 0.2643992349419104}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,531] Trial 58 finished with value: 3.296708433144217 and parameters: {'x': 3.815684012471393}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,537] Trial 59 finished with value: 7.004590546965399 and parameters: {'x': -0.6466187007133078}. Best is trial 41 with value: 0.00034717018847745906.\n[I 2023-11-01 05:06:52,542] Trial 60 finished with value: 9.52035594438783e-05 and parameters: {'x': 2.0097572311361307}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,548] Trial 61 finished with value: 0.14922466349020133 and parameters: {'x': 2.3862960826751953}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,553] Trial 62 finished with value: 0.02991706214469467 and parameters: {'x': 1.827034505913189}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,558] Trial 63 finished with value: 0.202400583996796 and parameters: {'x': 1.5501104757867816}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,564] Trial 64 finished with value: 1.2606421607247438 and parameters: {'x': 0.8772167792825083}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,569] Trial 65 finished with value: 1.299118549404685 and parameters: {'x': 3.1397888178977214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,575] Trial 66 finished with value: 4.450895898329239 and parameters: {'x': -0.10971464855540103}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,580] Trial 67 finished with value: 0.03088479384351814 and parameters: {'x': 1.824259299410984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,586] Trial 68 finished with value: 5.332971739906828 and parameters: {'x': 4.309322788158214}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,591] Trial 69 finished with value: 0.6271268853930936 and parameters: {'x': 1.208086566982796}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,597] Trial 70 finished with value: 0.007719178236032712 and parameters: {'x': 2.0878588540559955}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,602] Trial 71 finished with value: 0.012661624433072366 and parameters: {'x': 1.8874761161660674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,608] Trial 72 finished with value: 1.9794461764262585 and parameters: {'x': 0.5930720784538184}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,614] Trial 73 finished with value: 1.2368870640660339 and parameters: {'x': 3.112154244727787}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,619] Trial 74 finished with value: 0.3880469786902271 and parameters: {'x': 2.622934168825428}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,625] Trial 75 finished with value: 3.4042775619536743 and parameters: {'x': 3.8450684437043723}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,631] Trial 76 finished with value: 2.079245934316126 and parameters: {'x': 3.4419590612483164}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,636] Trial 77 finished with value: 0.010562340631641274 and parameters: {'x': 2.1027732486187007}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,642] Trial 78 finished with value: 0.0005364228531103238 and parameters: {'x': 2.0231608042414404}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,648] Trial 79 finished with value: 0.46940820454763404 and parameters: {'x': 2.685133712896712}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,653] Trial 80 finished with value: 2.041032452665234 and parameters: {'x': 0.5713529292840607}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,659] Trial 81 finished with value: 0.018334572014982113 and parameters: {'x': 2.1354052141351363}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,664] Trial 82 finished with value: 0.00023888961001901598 and parameters: {'x': 1.984543945845753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,670] Trial 83 finished with value: 0.7162777033771291 and parameters: {'x': 1.1536680891180287}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,675] Trial 84 finished with value: 0.4129379896263159 and parameters: {'x': 2.6426025129318402}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,681] Trial 85 finished with value: 0.4137478576458505 and parameters: {'x': 1.3567676487878968}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,686] Trial 86 finished with value: 2.084447275652484 and parameters: {'x': 3.443761502344651}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,692] Trial 87 finished with value: 8.183821197705687 and parameters: {'x': 4.8607378764412665}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,698] Trial 88 finished with value: 0.1281480021517645 and parameters: {'x': 2.3579776559392562}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,703] Trial 89 finished with value: 3.4607527987768063 and parameters: {'x': 0.13969013366675753}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,709] Trial 90 finished with value: 0.021947604417298688 and parameters: {'x': 2.1481472389796674}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,715] Trial 91 finished with value: 0.0005660721930479176 and parameters: {'x': 1.9762077282915667}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,720] Trial 92 finished with value: 0.8713972154630523 and parameters: {'x': 2.933486590939073}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,726] Trial 93 finished with value: 0.17529342491340852 and parameters: {'x': 1.581319423768658}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,731] Trial 94 finished with value: 1.5719042453384775 and parameters: {'x': 0.7462439450441416}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,737] Trial 95 finished with value: 0.5388814779848659 and parameters: {'x': 1.2659145295097676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,743] Trial 96 finished with value: 0.0038909507156649694 and parameters: {'x': 2.0623774856471866}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,748] Trial 97 finished with value: 3.2921552986347877 and parameters: {'x': 3.814429744750341}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,754] Trial 98 finished with value: 0.6657259605136908 and parameters: {'x': 2.8159203150514704}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,760] Trial 99 finished with value: 0.03229801578929924 and parameters: {'x': 1.8202835127505013}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,784] Trial 100 finished with value: 1.7977761460270023 and parameters: {'x': 3.340811748914441}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,790] Trial 101 finished with value: 0.0015492781617407647 and parameters: {'x': 2.0393608709474367}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,795] Trial 102 finished with value: 0.38745474241702155 and parameters: {'x': 1.377541372927468}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,801] Trial 103 finished with value: 0.290390960306263 and parameters: {'x': 2.538879355984494}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,807] Trial 104 finished with value: 1.4702567506803865 and parameters: {'x': 0.7874585571287114}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,812] Trial 105 finished with value: 2.5834200423581404 and parameters: {'x': 0.39269789947311384}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,818] Trial 106 finished with value: 0.012297194796291239 and parameters: {'x': 2.1108927175079195}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,823] Trial 107 finished with value: 0.7629299986844984 and parameters: {'x': 1.126541358343454}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,829] Trial 108 finished with value: 1.2993761658491407 and parameters: {'x': 3.139901822899297}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,835] Trial 109 finished with value: 4.548133553679544 and parameters: {'x': 4.132635354128676}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,840] Trial 110 finished with value: 0.023689542742086577 and parameters: {'x': 1.8460859241586833}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,846] Trial 111 finished with value: 0.055444269754601976 and parameters: {'x': 2.2354660692214527}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,852] Trial 112 finished with value: 0.5847192650232681 and parameters: {'x': 2.76466938282062}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,857] Trial 113 finished with value: 0.2899129176879371 and parameters: {'x': 1.4615643792541795}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,863] Trial 114 finished with value: 0.032535087837991236 and parameters: {'x': 2.180374853674206}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,869] Trial 115 finished with value: 0.020159864570020378 and parameters: {'x': 1.8580145621198414}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,875] Trial 116 finished with value: 0.9879295616051216 and parameters: {'x': 1.0060535418820984}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,880] Trial 117 finished with value: 2.551364606636544 and parameters: {'x': 3.5972991600312523}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,886] Trial 118 finished with value: 4.516099912776148 and parameters: {'x': -0.1251117412447158}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,892] Trial 119 finished with value: 0.24720642514466806 and parameters: {'x': 2.4971985771748226}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,897] Trial 120 finished with value: 1.1985053056002706 and parameters: {'x': 3.094762670901904}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,903] Trial 121 finished with value: 0.017754796280656574 and parameters: {'x': 2.1332471248494937}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,909] Trial 122 finished with value: 0.13659655806605955 and parameters: {'x': 1.6304102841446213}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,915] Trial 123 finished with value: 0.0007676543544602042 and parameters: {'x': 2.0277065760147335}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,921] Trial 124 finished with value: 2.0071958786712862 and parameters: {'x': 0.583244594620763}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,927] Trial 125 finished with value: 0.3308586659802233 and parameters: {'x': 2.575203151921322}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,932] Trial 126 finished with value: 0.2125129602248248 and parameters: {'x': 1.5390087200121625}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,938] Trial 127 finished with value: 0.6259951561439652 and parameters: {'x': 1.208801443287486}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,944] Trial 128 finished with value: 0.7859687714896907 and parameters: {'x': 2.8865487981435036}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,949] Trial 129 finished with value: 0.0006006820548318606 and parameters: {'x': 1.9754911841405616}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,955] Trial 130 finished with value: 2.2429562501708737 and parameters: {'x': 3.4976502429375405}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,961] Trial 131 finished with value: 0.00011253701871529082 and parameters: {'x': 1.9893916533467608}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,967] Trial 132 finished with value: 0.0209618098622641 and parameters: {'x': 1.8552180609942521}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,972] Trial 133 finished with value: 0.17621392417763895 and parameters: {'x': 2.41977842271565}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,978] Trial 134 finished with value: 1.4533589646647718 and parameters: {'x': 0.7944466147595239}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,984] Trial 135 finished with value: 0.4174340790762665 and parameters: {'x': 1.3539086139900436}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,990] Trial 136 finished with value: 2.777605885776695 and parameters: {'x': 0.3333849017314481}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:52,995] Trial 137 finished with value: 0.8883978527105661 and parameters: {'x': 2.9425485943496845}. Best is trial 60 with value: 9.52035594438783e-05.\n[I 2023-11-01 05:06:53,001] Trial 138 finished with value: 7.287764723062673e-06 and parameters: {'x': 2.0026995860280907}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,007] Trial 139 finished with value: 0.1908167698458435 and parameters: {'x': 1.5631742111025912}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,013] Trial 140 finished with value: 0.982539312337715 and parameters: {'x': 1.0087687896672568}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,018] Trial 141 finished with value: 0.0011628353041402502 and parameters: {'x': 2.034100371026431}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,024] Trial 142 finished with value: 0.1477837656309404 and parameters: {'x': 2.384426541267562}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,030] Trial 143 finished with value: 0.0392530943660645 and parameters: {'x': 1.801876063116885}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,035] Trial 144 finished with value: 0.3726630781423081 and parameters: {'x': 2.6104613649874233}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,041] Trial 145 finished with value: 1.5037231427469366 and parameters: {'x': 3.2262638960464165}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,047] Trial 146 finished with value: 8.930459546692173e-05 and parameters: {'x': 1.9905498891293847}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,053] Trial 147 finished with value: 0.5262730092186017 and parameters: {'x': 1.2745532347452353}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,059] Trial 148 finished with value: 0.03468330934633238 and parameters: {'x': 2.186234554651741}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,065] Trial 149 finished with value: 0.6561418640590586 and parameters: {'x': 2.8100258415995496}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,071] Trial 150 finished with value: 0.03455445881272944 and parameters: {'x': 1.8141117034003231}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,077] Trial 151 finished with value: 0.00016291918048279416 and parameters: {'x': 1.987236020194203}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,083] Trial 152 finished with value: 0.1553347660191627 and parameters: {'x': 2.394125317658182}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,089] Trial 153 finished with value: 0.22797095404488588 and parameters: {'x': 1.522536960545755}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,095] Trial 154 finished with value: 1.6252264649018378 and parameters: {'x': 0.7251562978537966}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,101] Trial 155 finished with value: 0.0003107441476857592 and parameters: {'x': 1.9823720634308561}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,107] Trial 156 finished with value: 0.6484228362854632 and parameters: {'x': 1.1947529346309524}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,113] Trial 157 finished with value: 3.606314473317992 and parameters: {'x': 3.899029876889248}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,119] Trial 158 finished with value: 1.485900536901773 and parameters: {'x': 3.2189751994613234}. Best is trial 138 with value: 7.287764723062673e-06.\n[I 2023-11-01 05:06:53,125] Trial 159 finished with value: 5.571555943083334e-07 and parameters: {'x': 2.0007464285594136}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,131] Trial 160 finished with value: 0.3458850264082026 and parameters: {'x': 2.58811990818897}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,137] Trial 161 finished with value: 0.0012573926077099906 and parameters: {'x': 1.9645402677997987}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,143] Trial 162 finished with value: 0.08996503427815297 and parameters: {'x': 1.7000582818643712}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,149] Trial 163 finished with value: 4.053186084098206e-05 and parameters: {'x': 2.006366463762638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,155] Trial 164 finished with value: 0.8599437283498954 and parameters: {'x': 1.0726684905871604}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,161] Trial 165 finished with value: 0.15142353224696364 and parameters: {'x': 2.3891317672035575}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,167] Trial 166 finished with value: 0.12678853589781203 and parameters: {'x': 1.6439262212717538}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,173] Trial 167 finished with value: 0.6124097371858583 and parameters: {'x': 2.7825661232035657}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,179] Trial 168 finished with value: 0.0007524802517180948 and parameters: {'x': 2.0274313734931027}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,185] Trial 169 finished with value: 0.3625921356521654 and parameters: {'x': 1.3978437614271813}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,191] Trial 170 finished with value: 2.977781431940371 and parameters: {'x': 0.27437506046639126}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,197] Trial 171 finished with value: 0.0036529565650316835 and parameters: {'x': 2.0604396936212592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,203] Trial 172 finished with value: 0.005102265546228446 and parameters: {'x': 1.9285698554794375}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,209] Trial 173 finished with value: 0.14773664354757124 and parameters: {'x': 2.3843652475804378}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,215] Trial 174 finished with value: 0.7716860532460863 and parameters: {'x': 2.8784566313974107}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,222] Trial 175 finished with value: 1.0892766979534005 and parameters: {'x': 0.9563158054500391}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,228] Trial 176 finished with value: 0.08563815801306056 and parameters: {'x': 1.7073600197972592}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,234] Trial 177 finished with value: 0.04203893691246153 and parameters: {'x': 2.2050339896516222}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,240] Trial 178 finished with value: 2.0208840436138202 and parameters: {'x': 3.4215780117931693}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,246] Trial 179 finished with value: 0.34835760338758703 and parameters: {'x': 1.409781732417924}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,252] Trial 180 finished with value: 0.4470981958472258 and parameters: {'x': 2.668654018044628}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,259] Trial 181 finished with value: 0.009857507394026792 and parameters: {'x': 1.9007150192928115}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,265] Trial 182 finished with value: 0.024833541032370725 and parameters: {'x': 2.157586614381967}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,271] Trial 183 finished with value: 0.010286709971932408 and parameters: {'x': 1.8985765807521142}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,278] Trial 184 finished with value: 0.2031001081037554 and parameters: {'x': 2.4506662935074637}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,284] Trial 185 finished with value: 0.2937193146517275 and parameters: {'x': 1.458041224213753}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,290] Trial 186 finished with value: 1.096744472882214 and parameters: {'x': 3.0472556864883638}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,297] Trial 187 finished with value: 1.265630771745698 and parameters: {'x': 0.8749974347826144}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,303] Trial 188 finished with value: 0.007264540001865099 and parameters: {'x': 2.0852322708946858}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,309] Trial 189 finished with value: 0.5860713232470158 and parameters: {'x': 1.2344470473918765}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,315] Trial 190 finished with value: 0.13859698316225091 and parameters: {'x': 1.6277138423708841}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,321] Trial 191 finished with value: 0.1437858423743974 and parameters: {'x': 2.37919103678014}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,327] Trial 192 finished with value: 0.0013242415425513698 and parameters: {'x': 1.9636098702592122}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,333] Trial 193 finished with value: 0.000944399679360933 and parameters: {'x': 1.969268913469242}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,339] Trial 194 finished with value: 0.39192080206158825 and parameters: {'x': 2.6260357833715164}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,345] Trial 195 finished with value: 0.08694635068699279 and parameters: {'x': 1.705133334052503}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,351] Trial 196 finished with value: 0.007331088410886693 and parameters: {'x': 2.085621775331318}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,357] Trial 197 finished with value: 0.8764518381388364 and parameters: {'x': 2.936190065178453}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,364] Trial 198 finished with value: 1.7679372567216034 and parameters: {'x': 0.6703619828232936}. Best is trial 159 with value: 5.571555943083334e-07.\n[I 2023-11-01 05:06:53,370] Trial 199 finished with value: 0.437360507702615 and parameters: {'x': 1.3386676269056421}. Best is trial 159 with value: 5.571555943083334e-07.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:53,819] A new study created in memory with name: no-name-c98cc390-1e1d-4500-8156-80aca2433df2\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-a7bca16f-16b0-4bb3-aa4e-ebfe5119a2fa\n[I 2023-11-01 05:06:53,820] A new study created in memory with name: no-name-06bf416c-6691-47a9-b7df-1cf6d959645f\n[I 2023-11-01 05:06:53,858] A new study created in memory with name: no-name-615497d2-db57-4505-ba63-a1c110cb44e3\n[I 2023-11-01 05:06:54,101] Trial 0 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.00032647483001837867}. Best is trial 0 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:54,339] Trial 1 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.004348236984547518}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,578] Trial 2 finished with value: 0.3157894736842105 and parameters: {'alpha': 0.0003852959755573086}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:54,815] Trial 3 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.010649406919174391}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,052] Trial 4 finished with value: 0.13157894736842102 and parameters: {'alpha': 0.0007825615017938177}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,057] Trial 5 pruned. \n[I 2023-11-01 05:06:55,063] Trial 6 pruned. \n[I 2023-11-01 05:06:55,324] Trial 7 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0017470067379907659}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,329] Trial 8 pruned. \n[I 2023-11-01 05:06:55,590] Trial 9 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.012155791296470103}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,601] Trial 10 pruned. \n[I 2023-11-01 05:06:55,867] Trial 11 finished with value: 0.39473684210526316 and parameters: {'alpha': 1.4157956202798484e-05}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:55,877] Trial 12 pruned. \n[I 2023-11-01 05:06:55,887] Trial 13 pruned. \n[I 2023-11-01 05:06:55,897] Trial 14 pruned. \n[I 2023-11-01 05:06:56,164] Trial 15 finished with value: 0.052631578947368474 and parameters: {'alpha': 0.020237302363224755}. Best is trial 1 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:56,175] Trial 16 pruned. \n[I 2023-11-01 05:06:56,185] Trial 17 pruned. \n[I 2023-11-01 05:06:56,195] Trial 18 pruned. \n[I 2023-11-01 05:06:56,205] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:56,641] A new study created in memory with name: no-name-e0e6c113-a6c6-4f37-af4e-af661b994556\n[I 2023-11-01 05:06:56,679] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,775] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,806] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:56,840] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:56,952] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:57,013] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,029] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,045] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,067] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:57,102] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:57,146] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:57,189] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,268] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,301] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,333] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,367] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,400] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,436] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,531] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,564] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,597] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,674] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:57,709] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,743] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,780] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:57,949] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:57,984] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,020] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,055] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:58,091] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,125] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,161] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,207] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,244] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,280] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,317] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,355] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,392] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,436] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,473] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,512] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,555] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,595] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,653] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:58,752] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:58,790] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,828] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,866] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,904] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,943] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:58,981] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,017] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,057] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,101] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,142] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,267] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:59,308] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,350] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,389] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,428] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,468] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,515] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,558] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,596] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,637] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,676] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,716] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,755] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,795] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,836] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,875] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,913] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,950] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:59,988] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,026] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,069] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,109] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,147] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,186] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,231] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,271] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,320] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,469] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:07:00,515] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,555] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,597] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,640] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,682] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,731] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,775] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,814] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,861] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,903] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,949] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:00,996] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,036] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,081] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:07:01,123] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,166] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:07:01,210] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:07:02,876] A new study created in RDB with name: example-study\n[I 2023-11-01 05:07:02,956] Trial 0 finished with value: 0.33490634481534554 and parameters: {'x': 2.5787109337271463}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,005] Trial 1 finished with value: 26.67211255173214 and parameters: {'x': 7.164505063578904}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,055] Trial 2 finished with value: 14.314840521575489 and parameters: {'x': -1.783495806998534}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,099] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:07:03,176] Trial 3 finished with value: 41.27136646058192 and parameters: {'x': 8.424279450691877}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,226] Trial 4 finished with value: 31.190927670689717 and parameters: {'x': 7.584883854717994}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,285] Trial 5 finished with value: 107.56513627120556 and parameters: {'x': -8.371361350912693}. Best is trial 0 with value: 0.33490634481534554.\n[I 2023-11-01 05:07:03,324] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:07:04,398] A new study created in memory with name: no-name-002515b0-fa3e-4de1-b56c-aa05d116f06a\n[I 2023-11-01 05:07:16,479] Trial 0 finished with values: [105348.0, 0.79140625] and parameters: {'n_layers': 3, 'n_units_l0': 104, 'dropout_0': 0.24956895433948517, 'n_units_l1': 104, 'dropout_1': 0.35496815252355707, 'n_units_l2': 114, 'dropout_2': 0.46325134857234446, 'lr': 0.0007698151792807535}. \n[I 2023-11-01 05:07:21,071] Trial 1 finished with values: [60874.0, 0.69609375] and parameters: {'n_layers': 2, 'n_units_l0': 76, 'dropout_0': 0.24983659065722524, 'n_units_l1': 15, 'dropout_1': 0.46926815958785756, 'lr': 0.0016611774401982106}. \n[I 2023-11-01 05:07:25,804] Trial 2 finished with values: [107624.0, 0.7] and parameters: {'n_layers': 2, 'n_units_l0': 126, 'dropout_0': 0.24684311505551484, 'n_units_l1': 65, 'dropout_1': 0.3961075714179222, 'lr': 0.02225462006839636}. \n[I 2023-11-01 05:07:30,227] Trial 3 finished with values: [5558.0, 0.20625] and parameters: {'n_layers': 1, 'n_units_l0': 7, 'dropout_0': 0.4435641144230779, 'lr': 3.090400889831696e-05}. \n[I 2023-11-01 05:07:34,911] Trial 4 finished with values: [101810.0, 0.80390625] and parameters: {'n_layers': 2, 'n_units_l0': 119, 'dropout_0': 0.31997300028839787, 'n_units_l1': 66, 'dropout_1': 0.22514517270963202, 'lr': 0.000729244456978862}. \n[I 2023-11-01 05:07:39,500] Trial 5 finished with values: [78606.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 99, 'dropout_0': 0.3449197398100824, 'lr': 0.0014605996718168237}. \n[I 2023-11-01 05:07:44,192] Trial 6 finished with values: [30508.0, 0.36015625] and parameters: {'n_layers': 3, 'n_units_l0': 26, 'dropout_0': 0.4159076697448685, 'n_units_l1': 78, 'dropout_1': 0.44867040827927707, 'n_units_l2': 92, 'dropout_2': 0.4861703544333892, 'lr': 3.5266314558309925e-05}. \n[I 2023-11-01 05:07:49,153] Trial 7 finished with values: [117440.0, 0.66015625] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.3782921537441116, 'n_units_l1': 112, 'dropout_1': 0.4170572283822108, 'n_units_l2': 96, 'dropout_2': 0.36448023692444503, 'lr': 0.00016986486458041102}. \n[I 2023-11-01 05:07:53,946] Trial 8 finished with values: [32528.0, 0.55] and parameters: {'n_layers': 3, 'n_units_l0': 22, 'dropout_0': 0.3492300896821219, 'n_units_l1': 114, 'dropout_1': 0.4467619683447263, 'n_units_l2': 103, 'dropout_2': 0.29122277286425713, 'lr': 7.903131465682663e-05}. \n[I 2023-11-01 05:07:58,792] Trial 9 finished with values: [105255.0, 0.78359375] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.28842588628980215, 'n_units_l1': 53, 'dropout_1': 0.4593642955513967, 'n_units_l2': 103, 'dropout_2': 0.4269481563654046, 'lr': 0.010111136630874212}. \n[I 2023-11-01 05:08:03,429] Trial 10 finished with values: [38747.0, 0.8109375] and parameters: {'n_layers': 2, 'n_units_l0': 43, 'dropout_0': 0.34230632972748165, 'n_units_l1': 95, 'dropout_1': 0.2296719077243844, 'lr': 0.0015639055654327215}. \n[I 2023-11-01 05:08:08,356] Trial 11 finished with values: [96720.0, 0.790625] and parameters: {'n_layers': 3, 'n_units_l0': 109, 'dropout_0': 0.223661279744852, 'n_units_l1': 48, 'dropout_1': 0.277546167373325, 'n_units_l2': 104, 'dropout_2': 0.4841613142761236, 'lr': 0.0008887050405521802}. \n[I 2023-11-01 05:08:13,241] Trial 12 finished with values: [43212.0, 0.45703125] and parameters: {'n_layers': 3, 'n_units_l0': 52, 'dropout_0': 0.4471047354826121, 'n_units_l1': 16, 'dropout_1': 0.370826430182015, 'n_units_l2': 62, 'dropout_2': 0.38632638924124574, 'lr': 0.0001390911921469741}. \n[I 2023-11-01 05:08:17,851] Trial 13 finished with values: [73048.0, 0.66484375] and parameters: {'n_layers': 1, 'n_units_l0': 92, 'dropout_0': 0.42020632442759187, 'lr': 8.645180560472176e-05}. \n[I 2023-11-01 05:08:22,379] Trial 14 finished with values: [42876.0, 0.2625] and parameters: {'n_layers': 1, 'n_units_l0': 54, 'dropout_0': 0.4146210585206047, 'lr': 0.09791385276881996}. \n[I 2023-11-01 05:08:27,253] Trial 15 finished with values: [112519.0, 0.1015625] and parameters: {'n_layers': 3, 'n_units_l0': 124, 'dropout_0': 0.28468072929303634, 'n_units_l1': 61, 'dropout_1': 0.3725311636755989, 'n_units_l2': 109, 'dropout_2': 0.36066303711000247, 'lr': 0.062435382928635666}. \n[I 2023-11-01 05:08:31,814] Trial 16 finished with values: [61138.0, 0.80859375] and parameters: {'n_layers': 1, 'n_units_l0': 77, 'dropout_0': 0.369007061027577, 'lr': 0.0007933535312767438}. \n[I 2023-11-01 05:08:36,369] Trial 17 finished with values: [57168.0, 0.625] and parameters: {'n_layers': 1, 'n_units_l0': 72, 'dropout_0': 0.49859810250787917, 'lr': 3.606146967413893e-05}. \n[I 2023-11-01 05:08:41,142] Trial 18 finished with values: [61308.0, 0.1640625] and parameters: {'n_layers': 3, 'n_units_l0': 76, 'dropout_0': 0.2637138810356875, 'n_units_l1': 17, 'dropout_1': 0.46224765623881464, 'n_units_l2': 16, 'dropout_2': 0.2056946825269088, 'lr': 1.878263308874819e-05}. \n[I 2023-11-01 05:08:45,848] Trial 19 finished with values: [58304.0, 0.8203125] and parameters: {'n_layers': 2, 'n_units_l0': 68, 'dropout_0': 0.20296093073293825, 'n_units_l1': 64, 'dropout_1': 0.2695153045051587, 'lr': 0.0031642207643237234}. \n[I 2023-11-01 05:08:50,558] Trial 20 finished with values: [42056.0, 0.7203125] and parameters: {'n_layers': 2, 'n_units_l0': 46, 'dropout_0': 0.402142543949216, 'n_units_l1': 107, 'dropout_1': 0.3770534371786281, 'lr': 0.0003481266955933459}. \n[I 2023-11-01 05:08:55,573] Trial 21 finished with values: [7083.0, 0.609375] and parameters: {'n_layers': 3, 'n_units_l0': 7, 'dropout_0': 0.3511524619618836, 'n_units_l1': 27, 'dropout_1': 0.33182127866482014, 'n_units_l2': 38, 'dropout_2': 0.3858991240770281, 'lr': 0.0020251927379916256}. \n[I 2023-11-01 05:09:00,423] Trial 22 finished with values: [86076.0, 0.6296875] and parameters: {'n_layers': 3, 'n_units_l0': 106, 'dropout_0': 0.36136123427627087, 'n_units_l1': 22, 'dropout_1': 0.4930384261792156, 'n_units_l2': 20, 'dropout_2': 0.24401437641334633, 'lr': 0.00026955859205410093}. \n[I 2023-11-01 05:09:05,242] Trial 23 finished with values: [10766.0, 0.3015625] and parameters: {'n_layers': 2, 'n_units_l0': 11, 'dropout_0': 0.2747262177917529, 'n_units_l1': 102, 'dropout_1': 0.4616908063698536, 'lr': 4.177538580133748e-05}. \n[I 2023-11-01 05:09:09,967] Trial 24 finished with values: [43248.0, 0.6625] and parameters: {'n_layers': 2, 'n_units_l0': 52, 'dropout_0': 0.38904275206157446, 'n_units_l1': 40, 'dropout_1': 0.2650596493987497, 'lr': 0.00017727680768609067}. \n[I 2023-11-01 05:09:14,721] Trial 25 finished with values: [90516.0, 0.63671875] and parameters: {'n_layers': 1, 'n_units_l0': 114, 'dropout_0': 0.4594040180786691, 'lr': 2.0256962534158853e-05}. \n[I 2023-11-01 05:09:19,424] Trial 26 finished with values: [100838.0, 0.725] and parameters: {'n_layers': 1, 'n_units_l0': 127, 'dropout_0': 0.4665568603889022, 'lr': 0.00016437519173408615}. \n[I 2023-11-01 05:09:24,055] Trial 27 finished with values: [12200.0, 0.2328125] and parameters: {'n_layers': 2, 'n_units_l0': 14, 'dropout_0': 0.28699075192630635, 'n_units_l1': 51, 'dropout_1': 0.4750433764289269, 'lr': 1.906900101744108e-05}. \n[I 2023-11-01 05:09:28,629] Trial 28 finished with values: [19319.0, 0.74140625] and parameters: {'n_layers': 2, 'n_units_l0': 23, 'dropout_0': 0.30807009297564847, 'n_units_l1': 39, 'dropout_1': 0.33240413084280396, 'lr': 0.0009428316077351141}. \n[I 2023-11-01 05:09:33,357] Trial 29 finished with values: [60028.0, 0.71875] and parameters: {'n_layers': 3, 'n_units_l0': 73, 'dropout_0': 0.25997134493333, 'n_units_l1': 33, 'dropout_1': 0.4823825615785637, 'n_units_l2': 9, 'dropout_2': 0.20795463183435764, 'lr': 0.012975437735538404}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:09:34,181] A new study created in RDB with name: no-name-21452886-e9bd-4290-b017-a153229562c3\n[I 2023-11-01 05:09:34,337] Trial 0 finished with value: 0.040000000000000036 and parameters: {'svc_c': 1278.8599702937138}. Best is trial 0 with value: 0.040000000000000036.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:09:34,613] A new study created in memory with name: no-name-a4290e00-861a-4e8d-805b-8ca1a8ddc760\n[I 2023-11-01 05:09:34,614] Trial 0 finished with value: 0.8902268142688082 and parameters: {'x': 1.0564816831302064}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,615] Trial 1 finished with value: 12.332906466076487 and parameters: {'x': 5.511823809087877}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 2 finished with value: 14.530842978322715 and parameters: {'x': -1.8119342830540397}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,616] Trial 3 finished with value: 56.83672561890514 and parameters: {'x': -5.539013570680527}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 4 finished with value: 27.777188938806724 and parameters: {'x': 7.270406904481543}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,617] Trial 5 finished with value: 89.12295013747419 and parameters: {'x': -7.440495227342376}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 6 finished with value: 11.5979361818721 and parameters: {'x': -1.4055742807744043}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,618] Trial 7 finished with value: 28.643239180567083 and parameters: {'x': 7.351937890200809}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,619] Trial 8 finished with value: 62.87720425729934 and parameters: {'x': -5.9295147554752266}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,620] Trial 9 finished with value: 63.68230140232903 and parameters: {'x': -5.980119134594986}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,626] Trial 10 finished with value: 2.0469368607767398 and parameters: {'x': 3.430712011823742}. Best is trial 0 with value: 0.8902268142688082.\n[I 2023-11-01 05:09:34,632] Trial 11 finished with value: 0.17737702626693397 and parameters: {'x': 2.4211615204015366}. Best is trial 11 with value: 0.17737702626693397.\n[I 2023-11-01 05:09:34,638] Trial 12 finished with value: 0.02358928982650982 and parameters: {'x': 2.1535880523560014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,643] Trial 13 finished with value: 0.10543677646475949 and parameters: {'x': 2.3247102962099593}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,648] Trial 14 finished with value: 59.745962067670014 and parameters: {'x': 9.729551220327737}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,654] Trial 15 finished with value: 3.8028973923231635 and parameters: {'x': 0.0498981071946103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,661] Trial 16 finished with value: 2.232919374904762 and parameters: {'x': 3.4942956116193216}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,667] Trial 17 finished with value: 22.60722332850201 and parameters: {'x': -2.754705388191997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,672] Trial 18 finished with value: 0.629793975064785 and parameters: {'x': 1.2064044008030381}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,678] Trial 19 finished with value: 4.657789253158387 and parameters: {'x': 4.158191199397863}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,683] Trial 20 finished with value: 136.19322947091 and parameters: {'x': -9.670185494280286}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,689] Trial 21 finished with value: 0.08960289374742199 and parameters: {'x': 2.2993374245686997}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,695] Trial 22 finished with value: 0.25116937527717365 and parameters: {'x': 1.4988319889725865}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,700] Trial 23 finished with value: 3.570255641736849 and parameters: {'x': 0.11048798846452179}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,709] Trial 24 finished with value: 0.0676048745720197 and parameters: {'x': 2.2600093740079763}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,715] Trial 25 finished with value: 8.240866770840704 and parameters: {'x': 4.870690991876469}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,721] Trial 26 finished with value: 0.3050733165074443 and parameters: {'x': 2.5523344245178317}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,727] Trial 27 finished with value: 7.931690390334494 and parameters: {'x': -0.8163256896769759}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,732] Trial 28 finished with value: 23.888521133207703 and parameters: {'x': -2.887588478299672}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,738] Trial 29 finished with value: 0.06662826676655055 and parameters: {'x': 1.7418754820507154}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,744] Trial 30 finished with value: 3.2817008114443493 and parameters: {'x': 0.1884534752194882}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,749] Trial 31 finished with value: 0.4210808805143607 and parameters: {'x': 1.3510925485754068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,755] Trial 32 finished with value: 10.23343622493383 and parameters: {'x': 5.198974245744068}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,761] Trial 33 finished with value: 1.121781585613964 and parameters: {'x': 3.059141910045091}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,767] Trial 34 finished with value: 0.3291093418994368 and parameters: {'x': 1.426319477496894}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,773] Trial 35 finished with value: 6.013899246164516 and parameters: {'x': 4.452325273320103}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,779] Trial 36 finished with value: 16.976926164827635 and parameters: {'x': 6.120306561996041}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,785] Trial 37 finished with value: 8.03849111812035 and parameters: {'x': -0.8352232924622269}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,790] Trial 38 finished with value: 2.707087855977501 and parameters: {'x': 3.6453230248123014}. Best is trial 12 with value: 0.02358928982650982.\n[I 2023-11-01 05:09:34,796] Trial 39 finished with value: 0.005284565324173927 and parameters: {'x': 2.0726950158138364}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,802] Trial 40 finished with value: 1.8064659944292683 and parameters: {'x': 0.6559516398472605}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,808] Trial 41 finished with value: 0.014035425902544961 and parameters: {'x': 1.8815287971592043}. Best is trial 39 with value: 0.005284565324173927.\n[I 2023-11-01 05:09:34,813] Trial 42 finished with value: 0.003527135405656923 and parameters: {'x': 2.059389691072247}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,820] Trial 43 finished with value: 0.941294868667509 and parameters: {'x': 1.0297964808002864}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,826] Trial 44 finished with value: 2.93161497324026 and parameters: {'x': 3.7121959505968527}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,832] Trial 45 finished with value: 7.194270246882442 and parameters: {'x': -0.6822136840457813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,837] Trial 46 finished with value: 0.8728350420204694 and parameters: {'x': 2.934256411281437}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,843] Trial 47 finished with value: 0.007996960608665808 and parameters: {'x': 2.0894257267718066}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,848] Trial 48 finished with value: 5.470121979003275 and parameters: {'x': 4.338829189787761}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,853] Trial 49 finished with value: 2.0832892995951715 and parameters: {'x': 0.5566395808408866}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,859] Trial 50 finished with value: 0.9189804048897546 and parameters: {'x': 2.9586346566287673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,864] Trial 51 finished with value: 0.05148368181094175 and parameters: {'x': 1.7730998417564638}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,870] Trial 52 finished with value: 0.012476748718382434 and parameters: {'x': 1.8883006324172673}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,875] Trial 53 finished with value: 1.71666645491702 and parameters: {'x': 0.6897838136715682}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,881] Trial 54 finished with value: 0.0833322559431024 and parameters: {'x': 2.2886732684941617}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,886] Trial 55 finished with value: 1.6922091460444806 and parameters: {'x': 3.300849394067}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,891] Trial 56 finished with value: 4.942375266785536 and parameters: {'x': -0.22314535439892813}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,897] Trial 57 finished with value: 3.060427327115338 and parameters: {'x': 3.7494077075157004}. Best is trial 42 with value: 0.003527135405656923.\n[I 2023-11-01 05:09:34,902] Trial 58 finished with value: 0.0012484684850965861 and parameters: {'x': 1.9646663264703967}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,908] Trial 59 finished with value: 0.0014879680275504876 and parameters: {'x': 1.9614258113818257}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,913] Trial 60 finished with value: 13.988894738836104 and parameters: {'x': 5.740173089421946}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,919] Trial 61 finished with value: 0.043231936009403026 and parameters: {'x': 1.792077091186654}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,924] Trial 62 finished with value: 0.4706513836004359 and parameters: {'x': 2.6860403658680996}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,930] Trial 63 finished with value: 1.08233513525393 and parameters: {'x': 0.9596466296234102}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,936] Trial 64 finished with value: 0.09908650573442851 and parameters: {'x': 1.685219908929379}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,941] Trial 65 finished with value: 0.30598407713163056 and parameters: {'x': 2.553158274937319}. Best is trial 58 with value: 0.0012484684850965861.\n[I 2023-11-01 05:09:34,947] Trial 66 finished with value: 2.833364943744101e-09 and parameters: {'x': 2.0000532293616695}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,952] Trial 67 finished with value: 0.9157972119263196 and parameters: {'x': 1.0430270578922727}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,958] Trial 68 finished with value: 0.9078285650577469 and parameters: {'x': 2.9528003804878264}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,963] Trial 69 finished with value: 4.573302662402291 and parameters: {'x': 4.138528153287277}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,969] Trial 70 finished with value: 2.6050567839515426 and parameters: {'x': 0.38598116988941467}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,976] Trial 71 finished with value: 0.001234910057876034 and parameters: {'x': 2.035141287083373}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,981] Trial 72 finished with value: 0.012309798506479635 and parameters: {'x': 1.8890504686513745}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,987] Trial 73 finished with value: 0.10040593752041742 and parameters: {'x': 2.3168689595407184}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,993] Trial 74 finished with value: 0.5446120981918416 and parameters: {'x': 1.2620216140076719}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:34,999] Trial 75 finished with value: 1.9405677009892417 and parameters: {'x': 3.3930426055900953}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,004] Trial 76 finished with value: 4.859985103187532 and parameters: {'x': -0.20453738983659164}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,010] Trial 77 finished with value: 0.23965573098029785 and parameters: {'x': 2.4895464543639325}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,016] Trial 78 finished with value: 0.34982118875278573 and parameters: {'x': 1.408543164083138}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,022] Trial 79 finished with value: 1.3271881526063738 and parameters: {'x': 3.1520365239897448}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,027] Trial 80 finished with value: 0.01620505608373855 and parameters: {'x': 2.12729908123682}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,033] Trial 81 finished with value: 0.0070892383728512615 and parameters: {'x': 1.9158023849930934}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,039] Trial 82 finished with value: 1.2678880949385036 and parameters: {'x': 0.8739946292585885}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,045] Trial 83 finished with value: 3.015533044104391 and parameters: {'x': 0.26347097804142905}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,051] Trial 84 finished with value: 0.5000460360977717 and parameters: {'x': 2.707139332874202}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,057] Trial 85 finished with value: 0.0005701637259828814 and parameters: {'x': 2.0238781013898275}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,064] Trial 86 finished with value: 2.3946860380471344 and parameters: {'x': 3.5474773142269758}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,070] Trial 87 finished with value: 0.34743063875962393 and parameters: {'x': 1.410567528244648}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,076] Trial 88 finished with value: 4.227424879630563 and parameters: {'x': 4.056070251628228}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,082] Trial 89 finished with value: 7.7241085987872315 and parameters: {'x': 4.779228058074262}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,088] Trial 90 finished with value: 0.05369835395169352 and parameters: {'x': 2.2317290528865414}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,093] Trial 91 finished with value: 0.005353530996815471 and parameters: {'x': 1.9268321723924}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,099] Trial 92 finished with value: 1.3526041569217222 and parameters: {'x': 0.8369848853425326}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,104] Trial 93 finished with value: 0.905500654490347 and parameters: {'x': 2.951577981297564}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,110] Trial 94 finished with value: 0.16413695128004605 and parameters: {'x': 1.5948618121183267}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,116] Trial 95 finished with value: 0.0003309238157886264 and parameters: {'x': 2.018191311546687}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,122] Trial 96 finished with value: 0.6016140875028843 and parameters: {'x': 1.224362141522937}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,128] Trial 97 finished with value: 0.6067802032772965 and parameters: {'x': 2.7789609767358674}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,133] Trial 98 finished with value: 2.1733231019356762 and parameters: {'x': 0.5257805109361509}. Best is trial 66 with value: 2.833364943744101e-09.\n[I 2023-11-01 05:09:35,139] Trial 99 finished with value: 1.603046686354178 and parameters: {'x': 3.266114799832218}. Best is trial 66 with value: 2.833364943744101e-09.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:09:35,391] A new study created in memory with name: no-name-b6c4e1cb-39e8-40e8-b506-3e5da365de72\n[I 2023-11-01 05:09:35,393] Trial 0 finished with value: 46.12097547912244 and parameters: {'x': 6.587544643909023, 'y': 2.7252310436279874}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 1 finished with value: 54.815706421892585 and parameters: {'x': 7.2319402555878805, 'y': 2.514746561500087}. Best is trial 0 with value: 46.12097547912244.\n[I 2023-11-01 05:09:35,394] Trial 2 finished with value: 34.17179964261246 and parameters: {'x': 5.635635182727399, 'y': 2.4114157298175765}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,395] Trial 3 finished with value: 43.66793004614673 and parameters: {'x': 6.45023494430968, 'y': 2.0623992093530275}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,396] Trial 4 finished with value: 54.417209509839886 and parameters: {'x': 7.276857442128437, 'y': 1.4645552767798673}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,398] Trial 5 finished with value: 66.14211613472753 and parameters: {'x': 7.996740489982232, 'y': 2.1942576706062624}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,399] Trial 6 finished with value: 63.01686189321345 and parameters: {'x': 7.753639478896108, 'y': 2.8979367245171397}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,400] Trial 7 finished with value: 66.16118709512496 and parameters: {'x': 7.911371781878496, 'y': 3.571383624021628}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,401] Trial 8 finished with value: 79.86980242757681 and parameters: {'x': 8.732527050608208, 'y': 3.6127737379727156}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,403] Trial 9 finished with value: 90.4239196780801 and parameters: {'x': 9.360791358339913, 'y': 2.799504823708902}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,404] Trial 10 finished with value: 89.52937067051779 and parameters: {'x': 9.30901519309164, 'y': 2.8716068053068247}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,406] Trial 11 finished with value: 78.86565068370601 and parameters: {'x': 8.67368050218234, 'y': 3.6329172297679246}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,407] Trial 12 finished with value: 97.85678594492688 and parameters: {'x': 9.71975582327745, 'y': 3.3831326807909625}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,409] Trial 13 finished with value: 76.12924259860719 and parameters: {'x': 8.490577741313404, 'y': 4.039332217320576}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,411] Trial 14 finished with value: 90.89112410381287 and parameters: {'x': 9.300602190062197, 'y': 4.389923006023146}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,413] Trial 15 finished with value: 79.58682269246604 and parameters: {'x': 8.67551141601314, 'y': 4.322324363091704}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,414] Trial 16 finished with value: 62.1610726849644 and parameters: {'x': 7.606723748348073, 'y': 4.298826501281846}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,416] Trial 17 finished with value: 91.58002416786519 and parameters: {'x': 9.35678909251046, 'y': 4.030522046142462}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,418] Trial 18 finished with value: 88.49412521439918 and parameters: {'x': 9.211190722682886, 'y': 3.6480906847599095}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,421] Trial 19 finished with value: 59.03712391341939 and parameters: {'x': 7.413509379458291, 'y': 4.077002594103341}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,423] Trial 20 finished with value: 58.976189500915865 and parameters: {'x': 7.4471554977966425, 'y': 3.516064492553103}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,425] Trial 21 finished with value: 64.2909615392022 and parameters: {'x': 7.849638745545348, 'y': 2.6741331036354556}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,427] Trial 22 finished with value: 56.010513719970334 and parameters: {'x': 7.241501623631142, 'y': 3.571167954917872}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,430] Trial 23 finished with value: 65.73803663231661 and parameters: {'x': 7.831635304719015, 'y': 4.403525086195309}. Best is trial 2 with value: 34.17179964261246.\n[I 2023-11-01 05:09:35,432] Trial 24 finished with value: 32.73062355027994 and parameters: {'x': 5.4469742220240205, 'y': 3.061095374885753}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,435] Trial 25 finished with value: 33.34326674433777 and parameters: {'x': 5.446181770474323, 'y': 3.682370867290941}. Best is trial 24 with value: 32.73062355027994.\n[I 2023-11-01 05:09:35,437] Trial 26 finished with value: 31.3560697507764 and parameters: {'x': 5.23916240774504, 'y': 3.907247016047595}. Best is trial 26 with value: 31.3560697507764.\n[I 2023-11-01 05:09:35,440] Trial 27 finished with value: 26.065394868866054 and parameters: {'x': 4.661943859430464, 'y': 4.331674320384647}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,443] Trial 28 finished with value: 38.79437238050056 and parameters: {'x': 5.907193937069378, 'y': 3.899432170351348}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,445] Trial 29 finished with value: 27.579265988050064 and parameters: {'x': 4.91869331424352, 'y': 3.3857220684661598}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,448] Trial 30 finished with value: 28.27561018906632 and parameters: {'x': 4.914826834415594, 'y': 4.120087376774709}. Best is trial 27 with value: 26.065394868866054.\n[I 2023-11-01 05:09:35,451] Trial 31 finished with value: 24.86182092966081 and parameters: {'x': 4.585885444794622, 'y': 3.8314756168816455}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,454] Trial 32 finished with value: 47.85920943743388 and parameters: {'x': 6.578479246282816, 'y': 4.582820243660149}. Best is trial 31 with value: 24.86182092966081.\n[I 2023-11-01 05:09:35,457] Trial 33 finished with value: 13.639147290434384 and parameters: {'x': 3.2496999052680087, 'y': 3.0785978161354794}. Best is trial 33 with value: 13.639147290434384.\n[I 2023-11-01 05:09:35,461] Trial 34 finished with value: 6.74830234812279 and parameters: {'x': 1.9522912082627126, 'y': 2.9368613862629074}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,464] Trial 35 finished with value: 14.720616766186929 and parameters: {'x': 3.2953564725947246, 'y': 3.8612424847149818}. Best is trial 34 with value: 6.74830234812279.\n[I 2023-11-01 05:09:35,467] Trial 36 finished with value: 5.750772066024963 and parameters: {'x': 1.5009540357974505, 'y': 3.4979090484483084}. Best is trial 36 with value: 5.750772066024963.\n[I 2023-11-01 05:09:35,470] Trial 37 finished with value: 3.2729046071266112 and parameters: {'x': 0.12800717491289415, 'y': 3.256518770297431}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,474] Trial 38 finished with value: 3.4162909137684845 and parameters: {'x': 0.03851300537349189, 'y': 3.414807662185586}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,477] Trial 39 finished with value: 4.7402179669166955 and parameters: {'x': -0.9183202679709619, 'y': 3.896905852350436}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,481] Trial 40 finished with value: 8.663563600112177 and parameters: {'x': -2.2332479290655423, 'y': 3.676167287436644}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,484] Trial 41 finished with value: 5.473484027011917 and parameters: {'x': -0.8453215843961916, 'y': 4.75891544596583}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,488] Trial 42 finished with value: 6.4400520811210225 and parameters: {'x': -1.5540249616307804, 'y': 4.025058499749473}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,492] Trial 43 finished with value: 3.763641666580321 and parameters: {'x': 0.1741818408673974, 'y': 3.7333023528923657}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,496] Trial 44 finished with value: 8.283152492431942 and parameters: {'x': 1.9451371800628747, 'y': 4.499593843168989}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,500] Trial 45 finished with value: 4.277810942895938 and parameters: {'x': 0.11946410658672546, 'y': 4.263539270133373}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,503] Trial 46 finished with value: 7.994628470861279 and parameters: {'x': 1.8283280806982614, 'y': 4.651844900191492}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,507] Trial 47 finished with value: 5.766919987286867 and parameters: {'x': -1.1172839739437501, 'y': 4.518596508855329}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,511] Trial 48 finished with value: 5.7698751154357675 and parameters: {'x': -0.9219180260620652, 'y': 4.919942268657593}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,515] Trial 49 finished with value: 7.992496124570652 and parameters: {'x': 1.9151207152401475, 'y': 4.324808770628718}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,520] Trial 50 finished with value: 4.937312276238336 and parameters: {'x': 0.3284085985236205, 'y': 4.829460068654087}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,524] Trial 51 finished with value: 3.3706042796689832 and parameters: {'x': -0.14834137843089756, 'y': 3.3485991151142045}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,528] Trial 52 finished with value: 3.5612024817643664 and parameters: {'x': 0.9832784006996618, 'y': 2.594366068481882}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,533] Trial 53 finished with value: 8.161728680145249 and parameters: {'x': -1.9775689396574196, 'y': 4.250949769047478}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,537] Trial 54 finished with value: 8.040943235892652 and parameters: {'x': -2.1026147102406405, 'y': 3.6199546161723193}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,542] Trial 55 finished with value: 8.181378915862005 and parameters: {'x': -2.1434101148561835, 'y': 3.5871719953942076}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,546] Trial 56 finished with value: 4.5109399859377035 and parameters: {'x': 0.8785346925875257, 'y': 3.739116779857845}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,551] Trial 57 finished with value: 6.9948749654547795 and parameters: {'x': 1.7843479921696823, 'y': 3.810977208294803}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,556] Trial 58 finished with value: 5.547213567078827 and parameters: {'x': -1.204507871887298, 'y': 4.09637435364036}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,561] Trial 59 finished with value: 3.893573918020521 and parameters: {'x': -0.21169856538287002, 'y': 3.8487576354353554}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,566] Trial 60 finished with value: 5.880010280355952 and parameters: {'x': -1.623716447476164, 'y': 3.243555178551337}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,571] Trial 61 finished with value: 5.94268930407026 and parameters: {'x': 1.5345953416711131, 'y': 3.58770644139158}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,576] Trial 62 finished with value: 5.76673078023068 and parameters: {'x': -1.6068649607363592, 'y': 3.1847157781884188}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,581] Trial 63 finished with value: 6.837476978495528 and parameters: {'x': -1.737620296121301, 'y': 3.81815268500285}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,586] Trial 64 finished with value: 5.553294155861788 and parameters: {'x': 1.3937644158172517, 'y': 3.6107149090633825}. Best is trial 37 with value: 3.2729046071266112.\n[I 2023-11-01 05:09:35,591] Trial 65 finished with value: 2.9359804326272183 and parameters: {'x': 0.5564767745213044, 'y': 2.626314032045584}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,596] Trial 66 finished with value: 3.91975746451676 and parameters: {'x': 0.7071655068270388, 'y': 3.419674410470817}. Best is trial 65 with value: 2.9359804326272183.\n[I 2023-11-01 05:09:35,602] Trial 67 finished with value: 2.757853815578322 and parameters: {'x': 0.9138393263488318, 'y': 1.9227515011966356}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,607] Trial 68 finished with value: 3.952783205401828 and parameters: {'x': 1.0284351866956096, 'y': 2.895104272168195}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,613] Trial 69 finished with value: 6.852717036826063 and parameters: {'x': 2.3653587400287472, 'y': 1.257795067795681}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,618] Trial 70 finished with value: 8.115137502385 and parameters: {'x': 2.5767086668014594, 'y': 1.4757099488152463}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,624] Trial 71 finished with value: 5.414605783203195 and parameters: {'x': 1.760367799553138, 'y': 2.315710993499638}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,630] Trial 72 finished with value: 5.077916082981332 and parameters: {'x': 1.551774872588565, 'y': 2.6699108277840757}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,636] Trial 73 finished with value: 6.477949415002694 and parameters: {'x': 1.987461487594493, 'y': 2.5279462503313788}. Best is trial 67 with value: 2.757853815578322.\n[I 2023-11-01 05:09:35,641] Trial 74 finished with value: 1.1752292551350583 and parameters: {'x': -0.142037574001197, 'y': 1.1550545827069127}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,647] Trial 75 finished with value: 3.5981004594893093 and parameters: {'x': 1.6909700493431887, 'y': 0.7387207517136032}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,653] Trial 76 finished with value: 1.846887657739813 and parameters: {'x': -0.5578676966120564, 'y': 1.5356712908165717}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,659] Trial 77 finished with value: 4.394485608021643 and parameters: {'x': -1.885482188624704, 'y': 0.8394425244006398}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,665] Trial 78 finished with value: 3.1704755622836736 and parameters: {'x': -1.074752579969445, 'y': 2.0153824541326952}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,672] Trial 79 finished with value: 2.3596872093580368 and parameters: {'x': -0.926614629348181, 'y': 1.50107253803597}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,678] Trial 80 finished with value: 3.069457170568402 and parameters: {'x': 1.06355988621095, 'y': 1.9382975390113528}. Best is trial 74 with value: 1.1752292551350583.\n[I 2023-11-01 05:09:35,684] Trial 81 finished with value: 0.265687750091935 and parameters: {'x': -0.0858614841628933, 'y': 0.2583155556292802}. Best is trial 81 with value: 0.265687750091935.\n[I 2023-11-01 05:09:35,691] Trial 82 finished with value: -0.29205312588730276 and parameters: {'x': -0.32953889746575893, 'y': -0.40064901083025073}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,697] Trial 83 finished with value: -0.13172607771253858 and parameters: {'x': 0.5983993337193532, 'y': -0.4898078403083044}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,704] Trial 84 finished with value: 0.3653816529370192 and parameters: {'x': -0.14065469034728384, 'y': 0.3455979110203289}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,710] Trial 85 finished with value: 0.08420430855484151 and parameters: {'x': 0.8904661421712223, 'y': -0.708725641798458}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,717] Trial 86 finished with value: 0.869534577882956 and parameters: {'x': 1.0551660254165522, 'y': -0.24384076331040827}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,724] Trial 87 finished with value: 0.9989828738177257 and parameters: {'x': 0.842161011383598, 'y': 0.289747704723081}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,731] Trial 88 finished with value: 3.1896436002495756 and parameters: {'x': -1.91050502975619, 'y': -0.4603858684741249}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,737] Trial 89 finished with value: 1.4272879385659096 and parameters: {'x': -1.5767014291631911, 'y': -1.0586994581593396}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,744] Trial 90 finished with value: 2.936475354199171 and parameters: {'x': -1.877346527788152, 'y': -0.5879546311990598}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,751] Trial 91 finished with value: 0.3496090263253482 and parameters: {'x': -0.7520041523011303, 'y': -0.21590121875279333}. Best is trial 82 with value: -0.29205312588730276.\n[I 2023-11-01 05:09:35,759] Trial 92 finished with value: -0.8585836095198327 and parameters: {'x': 0.2573517717772149, 'y': -0.9248135439567045}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,766] Trial 93 finished with value: 0.8913335964812661 and parameters: {'x': 1.607492798406061, 'y': -1.692699500446083}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,773] Trial 94 finished with value: -0.5102996038955608 and parameters: {'x': 0.5216295138640499, 'y': -0.7823969536296058}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,780] Trial 95 finished with value: 0.06959804010355142 and parameters: {'x': -1.4004091337824534, 'y': -1.89154770187777}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,788] Trial 96 finished with value: 2.0536474939152116 and parameters: {'x': 1.8185372865756206, 'y': -1.2534303687506096}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,795] Trial 97 finished with value: -0.4311509127501286 and parameters: {'x': 0.9367076203942397, 'y': -1.3085720788547677}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,803] Trial 98 finished with value: 4.274647736338719 and parameters: {'x': 2.0745926026595107, 'y': -0.029286730670843975}. Best is trial 92 with value: -0.8585836095198327.\n[I 2023-11-01 05:09:35,810] Trial 99 finished with value: 0.0859057678175491 and parameters: {'x': 0.7233847212492792, 'y': -0.43737968711934827}. Best is trial 92 with value: -0.8585836095198327.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:09:36,063] A new study created in memory with name: no-name-7c8f34d4-acac-4aba-9dd6-1b7c692bf5fc\n[I 2023-11-01 05:09:36,080] Trial 0 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00021345695337510908}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,096] Trial 1 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.8235134532239217e-05}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,112] Trial 2 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.00032737881389929857}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,127] Trial 3 finished with value: 0.68 and parameters: {'loss': 'perceptron', 'alpha': 0.0001334820743131281}. Best is trial 0 with value: 0.76.\n[I 2023-11-01 05:09:36,143] Trial 4 finished with value: 0.9 and parameters: {'loss': 'log_loss', 'alpha': 3.3600127524571215e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,159] Trial 5 finished with value: 0.68 and parameters: {'loss': 'log_loss', 'alpha': 1.581041251370177e-05}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,175] Trial 6 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.00012757258952983733}. Best is trial 4 with value: 0.9.\n[I 2023-11-01 05:09:36,190] Trial 7 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8717398036567325e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,206] Trial 8 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4409942516636285e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,221] Trial 9 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.248492608423829e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,244] Trial 10 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00073453306045796}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,265] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.054021474951671e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,281] Trial 12 pruned. \n[I 2023-11-01 05:09:36,303] Trial 13 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6115842466694484e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,325] Trial 14 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 5.9690219263973595e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,338] Trial 15 pruned. \n[I 2023-11-01 05:09:36,360] Trial 16 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 6.706127391119783e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,382] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0870099176399007e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,404] Trial 18 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.1840338236606943e-05}. Best is trial 7 with value: 0.92.\n[I 2023-11-01 05:09:36,426] Trial 19 finished with value: 0.94 and parameters: {'loss': 'log_loss', 'alpha': 4.448085290666837e-05}. Best is trial 19 with value: 0.94.\n[I 2023-11-01 05:09:36,446] Trial 20 pruned. \n[I 2023-11-01 05:09:36,468] Trial 21 finished with value: 0.96 and parameters: {'loss': 'log_loss', 'alpha': 2.53721132531332e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,481] Trial 22 pruned. \n[I 2023-11-01 05:09:36,504] Trial 23 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 4.228673201103842e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,518] Trial 24 pruned. \n[I 2023-11-01 05:09:36,531] Trial 25 pruned. \n[I 2023-11-01 05:09:36,545] Trial 26 pruned. \n[I 2023-11-01 05:09:36,559] Trial 27 pruned. \n[I 2023-11-01 05:09:36,574] Trial 28 pruned. \n[I 2023-11-01 05:09:36,593] Trial 29 pruned. \n[I 2023-11-01 05:09:36,616] Trial 30 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 5.2187210828336567e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,638] Trial 31 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.4956981553039531e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,660] Trial 32 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.9250038961532406e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,682] Trial 33 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.165828955388632e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,704] Trial 34 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.313764916287009e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,719] Trial 35 pruned. \n[I 2023-11-01 05:09:36,741] Trial 36 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.767174689113415e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,763] Trial 37 finished with value: 0.68 and parameters: {'loss': 'hinge', 'alpha': 2.6907790845523036e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,778] Trial 38 pruned. \n[I 2023-11-01 05:09:36,800] Trial 39 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.735712676411028e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,822] Trial 40 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.3385256184134405e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,845] Trial 41 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.8080677197105286e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,867] Trial 42 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 3.441258846097398e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,890] Trial 43 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.8854701498578382e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,913] Trial 44 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 5.0315696597960055e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,935] Trial 45 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.378186378144991e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,958] Trial 46 finished with value: 0.92 and parameters: {'loss': 'hinge', 'alpha': 1.6093412351481648e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,980] Trial 47 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0322336744837793e-05}. Best is trial 21 with value: 0.96.\n[I 2023-11-01 05:09:36,995] Trial 48 pruned. \n[I 2023-11-01 05:09:37,018] Trial 49 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.04552105754934e-05}. Best is trial 21 with value: 0.96.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:09:37,269] A new study created in memory with name: no-name-5380433d-e376-4689-9b15-fa3863e1f861\n[I 2023-11-01 05:09:37,270] Trial 0 finished with value: 0.14388782659877442 and parameters: {'x': 0.14388782659877442}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 1 finished with value: 0.6966338725404763 and parameters: {'x': 0.6966338725404763}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,271] Trial 2 finished with value: 0.4067314077321882 and parameters: {'x': 0.4067314077321882}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 3 finished with value: 0.6068892985695601 and parameters: {'x': 0.6068892985695601}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,272] Trial 4 finished with value: 0.33620148086865853 and parameters: {'x': 0.33620148086865853}. Best is trial 0 with value: 0.14388782659877442.\n[I 2023-11-01 05:09:37,273] Trial 5 pruned. \n[I 2023-11-01 05:09:37,273] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:09:37,519] A new study created in memory with name: no-name-50227c93-64a3-4610-bf3c-43157e3f8a8a\n[I 2023-11-01 05:09:37,622] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:09:37,705] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,813] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.4903034849706194, 'bagging_freq': 4, 'min_child_samples': 8}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,935] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.5952333804139491, 'bagging_freq': 0, 'min_child_samples': 10}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,976] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.5138610028837161, 'bagging_freq': 1, 'min_child_samples': 40}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:37,990] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,005] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,019] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,045] Trial 8 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:09:38,060] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,092] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,122] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,153] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,184] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,214] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,331] Trial 15 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.7627127100384092, 'bagging_freq': 3, 'min_child_samples': 45}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,381] Trial 16 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:09:38,412] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,442] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,473] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,504] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,535] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:38,723] Trial 22 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6479827463806397, 'bagging_freq': 4, 'min_child_samples': 6}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:09:38,844] Trial 23 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.6802929513655142, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,025] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6548156952063472, 'bagging_freq': 3, 'min_child_samples': 6}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,129] Trial 25 pruned. Trial was pruned at iteration 94.\n[I 2023-11-01 05:09:39,163] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,197] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,231] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,264] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,297] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,330] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,509] Trial 32 finished with value: 0.951048951048951 and parameters: {'bagging_fraction': 0.8009009246311558, 'bagging_freq': 0, 'min_child_samples': 9}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:39,543] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,576] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,611] Trial 35 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:39,645] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,678] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,713] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,746] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,781] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,815] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,850] Trial 42 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,896] Trial 43 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:39,930] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:39,966] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,001] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,035] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,069] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,174] Trial 49 pruned. Trial was pruned at iteration 52.\n[I 2023-11-01 05:09:40,208] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,244] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,295] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,331] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,368] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,404] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,440] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,476] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,663] Trial 58 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8093382496817264, 'bagging_freq': 3, 'min_child_samples': 5}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:40,701] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,738] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,775] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,811] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:40,946] Trial 63 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7350789370874817, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,090] Trial 64 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7294576578569729, 'bagging_freq': 2, 'min_child_samples': 20}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,133] Trial 65 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:09:41,168] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,203] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,238] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,274] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,313] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,495] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7049366280023138, 'bagging_freq': 4, 'min_child_samples': 10}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,531] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,660] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.6907379488346678, 'bagging_freq': 3, 'min_child_samples': 23}. Best is trial 23 with value: 0.993006993006993.\n[I 2023-11-01 05:09:41,699] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,736] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,772] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,809] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,845] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,882] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,918] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,954] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:41,993] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,030] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,067] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,105] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,140] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,177] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,216] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,253] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,292] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,330] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,390] Trial 92 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:09:42,427] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,464] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,521] Trial 95 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,558] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,598] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,635] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,682] Trial 99 pruned. Trial was pruned at iteration 15.\n[I 2023-11-01 05:09:42,684] A new study created in memory with name: no-name-d7a6c00b-d74e-4727-860c-ee2fb8c7938e\n[I 2023-11-01 05:09:42,736] Trial 2 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8715341173213569, 'bagging_freq': 5, 'min_child_samples': 63}. Best is trial 2 with value: 0.965034965034965.\n[I 2023-11-01 05:09:42,871] Trial 3 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7797993522325375, 'bagging_freq': 5, 'min_child_samples': 9}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,938] Trial 4 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.585298350127812, 'bagging_freq': 1, 'min_child_samples': 23}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:42,953] Trial 5 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,968] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:42,982] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,050] Trial 8 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.668856778489588, 'bagging_freq': 6, 'min_child_samples': 58}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:43,066] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,097] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,128] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,160] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,192] Trial 13 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,223] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,258] Trial 15 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:43,290] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,329] Trial 17 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,362] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:09:43,396] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,429] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,461] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,493] Trial 22 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,526] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,558] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,591] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,625] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,658] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,693] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,725] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,759] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,792] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,826] Trial 32 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,860] Trial 33 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:43,894] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,927] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,963] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:43,998] Trial 37 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,032] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,068] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,102] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,285] Trial 41 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8588110154496078, 'bagging_freq': 5, 'min_child_samples': 10}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,337] Trial 42 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:09:44,373] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,416] Trial 44 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,461] Trial 45 pruned. Trial was pruned at iteration 7.\n[I 2023-11-01 05:09:44,496] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,532] Trial 47 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,567] Trial 48 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,604] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,640] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,676] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,712] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,823] Trial 53 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7745150488937625, 'bagging_freq': 5, 'min_child_samples': 34}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:44,859] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,896] Trial 55 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:44,931] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:44,967] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,092] Trial 58 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6286081793925987, 'bagging_freq': 5, 'min_child_samples': 26}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,128] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,164] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,202] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,238] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,275] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,311] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,350] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,387] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,423] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,459] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,498] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,534] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,672] Trial 71 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7311639302895071, 'bagging_freq': 5, 'min_child_samples': 24}. Best is trial 3 with value: 0.986013986013986.\n[I 2023-11-01 05:09:45,709] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,746] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,852] Trial 74 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7190856978599004, 'bagging_freq': 6, 'min_child_samples': 39}. Best is trial 74 with value: 0.993006993006993.\n[I 2023-11-01 05:09:45,889] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,925] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,962] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:45,999] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,036] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,075] Trial 80 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:09:46,113] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,151] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,187] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,224] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,261] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,298] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,334] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,374] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,415] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,454] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,493] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,531] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,572] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,615] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,654] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,693] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,734] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,776] Trial 98 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:09:46,814] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,854] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:09:46,894] Trial 101 pruned. Trial was pruned at iteration 2.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:09:47,163] A new study created in memory with name: no-name-9d7994ff-5064-4b18-ba12-1b74d17ffdae\n[I 2023-11-01 05:09:47,168] Trial 0 finished with value: 0.8 and parameters: {'C': 0.0037100120471898943, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,173] Trial 1 finished with value: 0.28 and parameters: {'C': 0.0002708650126165858, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,178] Trial 2 finished with value: 0.36 and parameters: {'C': 2.8699838763804296e-07, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,182] Trial 3 finished with value: 0.56 and parameters: {'C': 7.083053222355594e-06, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,186] Trial 4 finished with value: 0.8 and parameters: {'C': 0.0022233012489781775, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,190] Trial 5 finished with value: 0.56 and parameters: {'C': 0.0004847767990257645, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,194] Trial 6 finished with value: 0.8 and parameters: {'C': 0.0523464287709032, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,197] Trial 7 finished with value: 0.56 and parameters: {'C': 0.0006162796412942151, 'solver': 'saga'}. Best is trial 0 with value: 0.8.\n[I 2023-11-01 05:09:47,202] Trial 8 finished with value: 0.96 and parameters: {'C': 0.7785834765599597, 'solver': 'saga'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,207] Trial 9 finished with value: 0.4 and parameters: {'C': 7.073202208637796e-07, 'solver': 'lbfgs'}. Best is trial 8 with value: 0.96.\n[I 2023-11-01 05:09:47,208] A new study created in memory with name: no-name-24c7e25b-b5db-40c0-948b-a93565b8dd21\n[I 2023-11-01 05:09:47,241] A new study created in memory with name: no-name-e0634c01-3b1f-4eda-b5c9-7ddc9a975d0e\n[I 2023-11-01 05:09:47,273] A new study created in memory with name: no-name-e838e037-91da-41ed-8acb-103517b3faf4\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:09:47,573] A new study created in memory with name: no-name-9b8b7efe-e5c5-4853-9478-e4d84ff1c8ae\n[I 2023-11-01 05:09:47,579] Trial 0 finished with value: 0.92 and parameters: {'C': 1.664084251597465}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,584] Trial 1 finished with value: 0.44 and parameters: {'C': 0.0007863745138313611}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,590] Trial 2 finished with value: 0.92 and parameters: {'C': 3.483193388818337}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,595] Trial 3 finished with value: 0.44 and parameters: {'C': 0.00031472142880741504}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,600] Trial 4 finished with value: 0.92 and parameters: {'C': 0.054646391282601785}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,605] Trial 5 finished with value: 0.44 and parameters: {'C': 0.00010191624495775013}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,610] Trial 6 finished with value: 0.44 and parameters: {'C': 3.766933583527544e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,615] Trial 7 finished with value: 0.44 and parameters: {'C': 2.3489818637664162e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,621] Trial 8 finished with value: 0.44 and parameters: {'C': 7.30347625297428e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:09:47,626] Trial 9 finished with value: 0.92 and parameters: {'C': 0.9890668024258267}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:09:47,885] A new study created in Journal with name: example-study\n[I 2023-11-01 05:09:47,890] Trial 0 finished with value: 50.55471221731724 and parameters: {'x': -5.11018369786022}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,893] Trial 1 finished with value: 106.99763812740689 and parameters: {'x': -8.343966266737672}. Best is trial 0 with value: 50.55471221731724.\n[I 2023-11-01 05:09:47,896] Trial 2 finished with value: 77.15556056539192 and parameters: {'x': -6.783823800907662}. Best is trial 0 with value: 50.55471221731724.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:09:48,223] A new study created in RDB with name: test_study\n[I 2023-11-01 05:10:17,371] Trial 0 finished with value: -0.9833950694824145 and parameters: {'phi': -0.3852263360386732, 'theta': -0.9827508644218659, 'psi': -0.41023923030411114, 'x_pos': 0.15422435863762296, 'y_pos': 0.11106188598463751, 'z_hig': 1.8254373481385473}. Best is trial 0 with value: -0.9833950694824145.\n[I 2023-11-01 05:12:17,107] Trial 1 finished with value: -0.9849498863507284 and parameters: {'phi': 0.841890623048869, 'theta': -0.5825250527736188, 'psi': 0.6077486250509136, 'x_pos': 0.11294600793231296, 'y_pos': 0.2426765335877925, 'z_hig': 3.057915847436877}. Best is trial 1 with value: -0.9849498863507284.\n[I 2023-11-01 05:12:25,198] Trial 2 finished with value: -0.9853528910542393 and parameters: {'phi': -0.13129219028535122, 'theta': 0.978188558367846, 'psi': 0.7023039993281388, 'x_pos': 0.4360070240267705, 'y_pos': 0.4783531803407083, 'z_hig': 1.435415269862622}. Best is trial 2 with value: -0.9853528910542393.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 157.38 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 150.13 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.38 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 5.68 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.39 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.13 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 0.96 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.83 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.32 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.16 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.07 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.01 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [doctest]: targets for 132 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... [ 1%] faq\n\u001b[2Kreading sources... [ 1%] index\n\u001b[2Kreading sources... [ 2%] installation\n\u001b[2Kreading sources... [ 2%] license_thirdparty\n\u001b[2Kreading sources... [ 3%] privacy\n\u001b[2Kreading sources... [ 3%] reference/artifacts\n\u001b[2Kreading sources... [ 4%] reference/cli\n\u001b[2Kreading sources... [ 4%] reference/distributions\n\u001b[2Kreading sources... [ 5%] reference/exceptions\n\u001b[2Kreading sources... [ 5%] reference/generated/optuna.TrialPruned\n\u001b[2Kreading sources... [ 6%] reference/generated/optuna.artifacts.Backoff\n\u001b[2Kreading sources... [ 6%] reference/generated/optuna.artifacts.Boto3ArtifactStore\n\u001b[2Kreading sources... [ 7%] reference/generated/optuna.artifacts.FileSystemArtifactStore\n\u001b[2Kreading sources... [ 7%] reference/generated/optuna.artifacts.GCSArtifactStore\n\u001b[2Kreading sources... [ 8%] reference/generated/optuna.artifacts.upload_artifact\n\u001b[2Kreading sources... 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[ 33%] reference/generated/optuna.integration.lightgbm.LightGBMTunerCV\n\u001b[2Kreading sources... [ 33%] reference/generated/optuna.integration.lightgbm.train\n\u001b[2Kreading sources... [ 34%] reference/generated/optuna.load_study\n\u001b[2Kreading sources... [ 34%] reference/generated/optuna.logging.disable_default_handler\n\u001b[2Kreading sources... [ 35%] reference/generated/optuna.logging.disable_propagation\n\u001b[2Kreading sources... [ 35%] reference/generated/optuna.logging.enable_default_handler\n\u001b[2Kreading sources... [ 36%] reference/generated/optuna.logging.enable_propagation\n\u001b[2Kreading sources... [ 36%] reference/generated/optuna.logging.get_verbosity\n\u001b[2Kreading sources... [ 37%] reference/generated/optuna.logging.set_verbosity\n\u001b[2Kreading sources... [ 37%] reference/generated/optuna.pruners.BasePruner\n\u001b[2Kreading sources... [ 38%] reference/generated/optuna.pruners.HyperbandPruner\n\u001b[2Kreading sources... [ 38%] reference/generated/optuna.pruners.MedianPruner\n\u001b[2Kreading sources... [ 39%] reference/generated/optuna.pruners.NopPruner\n\u001b[2Kreading sources... [ 39%] reference/generated/optuna.pruners.PatientPruner\n\u001b[2Kreading sources... [ 40%] reference/generated/optuna.pruners.PercentilePruner\n\u001b[2Kreading sources... [ 40%] reference/generated/optuna.pruners.SuccessiveHalvingPruner\n\u001b[2Kreading sources... [ 41%] reference/generated/optuna.pruners.ThresholdPruner\n\u001b[2Kreading sources... [ 41%] reference/generated/optuna.search_space.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 42%] reference/generated/optuna.search_space.intersection_search_space\n\u001b[2Kreading sources... [ 42%] reference/generated/optuna.storages.JournalFileOpenLock\n\u001b[2Kreading sources... [ 43%] reference/generated/optuna.storages.JournalFileStorage\n\u001b[2Kreading sources... [ 43%] reference/generated/optuna.storages.JournalFileSymlinkLock\n\u001b[2Kreading sources... [ 44%] reference/generated/optuna.storages.JournalRedisStorage\n\u001b[2Kreading sources... [ 44%] reference/generated/optuna.storages.JournalStorage\n\u001b[2Kreading sources... [ 45%] reference/generated/optuna.storages.RDBStorage\n\u001b[2Kreading sources... [ 45%] reference/generated/optuna.storages.RetryFailedTrialCallback\n\u001b[2Kreading sources... [ 46%] reference/generated/optuna.storages.fail_stale_trials\n\u001b[2Kreading sources... [ 46%] reference/generated/optuna.study.MaxTrialsCallback\n\u001b[2Kreading sources... [ 47%] reference/generated/optuna.study.Study\n\u001b[2Kreading sources... [ 47%] reference/generated/optuna.study.StudyDirection\n\u001b[2Kreading sources... [ 48%] reference/generated/optuna.study.StudySummary\n\u001b[2Kreading sources... [ 48%] reference/generated/optuna.study.copy_study\n\u001b[2Kreading sources... [ 49%] reference/generated/optuna.study.create_study\n\u001b[2Kreading sources... [ 49%] reference/generated/optuna.study.delete_study\n\u001b[2Kreading sources... [ 50%] reference/generated/optuna.study.get_all_study_names\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.get_all_study_summaries\n\u001b[2Kreading sources... [ 51%] reference/generated/optuna.study.load_study\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseErrorEvaluator\n\u001b[2Kreading sources... [ 52%] reference/generated/optuna.terminator.BaseImprovementEvaluator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BaseTerminator\n\u001b[2Kreading sources... [ 53%] reference/generated/optuna.terminator.BestValueStagnationEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.CrossValidationErrorEvaluator\n\u001b[2Kreading sources... [ 54%] reference/generated/optuna.terminator.RegretBoundEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.StaticErrorEvaluator\n\u001b[2Kreading sources... [ 55%] reference/generated/optuna.terminator.Terminator\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.TerminatorCallback\n\u001b[2Kreading sources... [ 56%] reference/generated/optuna.terminator.report_cross_validation_scores\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FixedTrial\n\u001b[2Kreading sources... [ 57%] reference/generated/optuna.trial.FrozenTrial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.Trial\n\u001b[2Kreading sources... [ 58%] reference/generated/optuna.trial.TrialState\n\u001b[2Kreading sources... [ 59%] reference/generated/optuna.trial.create_trial\n\u001b[2Kreading sources... [ 59%] reference/importance\n\u001b[2Kreading sources... [ 60%] reference/index\n\u001b[2Kreading sources... [ 60%] reference/integration\n\u001b[2Kreading sources... [ 61%] reference/logging\n\u001b[2Kreading sources... [ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:12:37,040] A new study created in memory with name: no-name-2b450eff-406d-4704-a599-a8d3d154e656\n[I 2023-11-01 05:12:37,041] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:37,042] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,043] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,044] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,045] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,046] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,047] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,048] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,055] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,062] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,069] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,075] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,082] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,088] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,095] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,101] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,108] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,114] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,120] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,127] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,133] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,140] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,147] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,153] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,160] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,166] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,173] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:37,180] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:37,180] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:12:37,562] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:12:37,563] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,564] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:12:37,565] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,565] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:12:37,566] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,567] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,568] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,569] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,570] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,571] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,572] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,573] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,574] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,575] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,576] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,577] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,578] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,579] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,580] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,581] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,582] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,583] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,584] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,585] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,586] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,587] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,588] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,589] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,590] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,591] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,592] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,593] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,594] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,595] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,596] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,597] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,598] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,599] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,600] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,601] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,602] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,603] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,604] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,605] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,606] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,607] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,608] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,609] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,610] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:12:37,611] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,611] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,612] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,613] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,614] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,615] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,616] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,617] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,618] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,619] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,620] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,621] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,622] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,623] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,624] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,625] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,626] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,627] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,628] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,629] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,630] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,631] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:12:37,632] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,633] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,634] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,635] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,636] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,637] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,638] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,639] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,640] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,641] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,642] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,643] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,644] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:12:37,645] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,646] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,647] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,648] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,649] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,650] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,651] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,652] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,653] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,654] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,655] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,656] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,657] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,658] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,659] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,660] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,661] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,662] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,663] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,664] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,665] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,666] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,667] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,668] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,669] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,670] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,671] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,672] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,673] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,674] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,675] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,676] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,677] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,678] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,679] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,680] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,681] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,682] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,683] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,684] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,685] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,686] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,687] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,688] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,689] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,690] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,691] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,692] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,693] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,694] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,695] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,696] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,697] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,698] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,699] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,700] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,701] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,702] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,703] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,704] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,705] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,706] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,707] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,708] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,709] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,710] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,711] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,712] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,713] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,714] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,715] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,716] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,717] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,718] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,719] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,720] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,721] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,722] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,723] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,724] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,725] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,726] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,727] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,728] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,729] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,730] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,731] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,732] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,733] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,734] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,735] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,736] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,737] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,738] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,739] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,740] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,741] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,742] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,743] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,744] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,745] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,746] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,747] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,748] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,749] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,750] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,751] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,752] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,753] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,754] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:12:37,755] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,755] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,756] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,757] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,758] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,759] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,760] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,761] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,762] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,763] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,764] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,765] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,766] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,767] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,768] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,769] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,770] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,771] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,772] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,773] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,774] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,775] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,776] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,777] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,778] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,779] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,780] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,781] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,782] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,783] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,784] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,785] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,786] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,787] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,788] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,789] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,790] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,791] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,792] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,793] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,794] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,795] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,796] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,797] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,798] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,799] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,800] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,801] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,802] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,803] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,804] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,805] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,806] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,807] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,808] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,809] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,810] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,811] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,812] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,813] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,814] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,815] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,816] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,817] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,818] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,819] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,820] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,821] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,822] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,823] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,824] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,825] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,826] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,827] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,828] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,829] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,830] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,831] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,832] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,833] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,834] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,835] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,836] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,837] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,838] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,839] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,840] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,841] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,842] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,843] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,844] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,845] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,846] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,847] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,848] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,849] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,850] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,851] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,852] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,853] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,854] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,855] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,856] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,857] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,858] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,859] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,860] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,861] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,862] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,863] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,864] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,865] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,866] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,867] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,868] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,869] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,870] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,871] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,872] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,873] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,874] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,875] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,876] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,877] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,878] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,879] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,880] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,881] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,882] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,883] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,884] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,885] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,886] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,887] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,888] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,889] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,890] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,891] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,892] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,893] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,894] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,895] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,896] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,897] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,898] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,899] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,900] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,901] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:12:37,902] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,902] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,903] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,904] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,905] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,906] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,907] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,908] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,909] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,910] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,911] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,912] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,913] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,914] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,915] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,916] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,917] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,918] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,919] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,920] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,921] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,922] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,923] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,924] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,925] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,926] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,927] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,928] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,929] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,930] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,931] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,932] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,933] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,934] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,935] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,936] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,937] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,938] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,939] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,940] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,941] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,942] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,943] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,944] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,945] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,946] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,947] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,948] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,949] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,950] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:12:37,951] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:12:37,952] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:12:37,953] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:12:37,954] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,954] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,955] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,956] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,957] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,958] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,959] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,960] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,961] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,962] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,963] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,964] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,965] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,966] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,967] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,968] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,969] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,970] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,971] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,972] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:12:37,973] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,974] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,975] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,976] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,977] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,978] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,979] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:12:37,980] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,981] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,982] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,983] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,984] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,985] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,986] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,987] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,988] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,989] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,990] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,991] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,992] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,993] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,994] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,995] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,996] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,997] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,998] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:37,999] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,000] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,001] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,002] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,003] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,004] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,005] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:12:38,006] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,007] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,008] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,009] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,010] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,011] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,012] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,013] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,014] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,015] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,016] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,017] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,018] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,019] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,020] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,021] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,022] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,023] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,024] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,025] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,026] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,027] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,028] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,029] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,030] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,031] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,032] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,033] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,034] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,035] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,036] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,037] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,038] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,039] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,040] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,041] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,042] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,043] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,044] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,045] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,046] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,047] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,048] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,049] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,050] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,051] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,052] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,053] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,054] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,055] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,056] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,057] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,058] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,059] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,060] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,061] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,062] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,063] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,064] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,065] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,066] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,067] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,068] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,069] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,070] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,071] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,072] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,073] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,074] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,075] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,076] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,077] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,078] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,079] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,080] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,081] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,082] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,083] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,084] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,085] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,086] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,087] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,088] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,089] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,090] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,091] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,092] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,093] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,094] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,095] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,096] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,097] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,098] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,099] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,100] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,101] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,102] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,103] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,104] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,105] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,106] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,107] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,108] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,109] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,110] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,111] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,112] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,113] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,114] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,115] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,116] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,117] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,118] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,119] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,120] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,121] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,122] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,123] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,124] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,125] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,126] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,127] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,128] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,129] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,130] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,131] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,132] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,133] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,134] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,135] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,136] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,137] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,138] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,139] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,140] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,141] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,142] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,143] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,144] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,145] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,146] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,147] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,148] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,149] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,150] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,151] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,152] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,153] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,154] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,155] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,156] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,157] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,158] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,159] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,160] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,161] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,162] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,163] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,164] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,165] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,166] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,167] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,168] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,169] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,170] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,171] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,172] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,173] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,174] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,175] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,176] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,177] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,178] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,179] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,180] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,181] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,182] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,183] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,184] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,185] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,186] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,187] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,188] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,189] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,190] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,191] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,192] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,193] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,194] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,195] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,196] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,197] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,198] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,199] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,200] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,201] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,202] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,203] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,204] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,205] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,206] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,207] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,208] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,209] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,210] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,211] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,212] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,213] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,214] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,215] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,216] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,217] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,218] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,219] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,220] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,221] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,222] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,223] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,224] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,225] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,226] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,227] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,228] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,229] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,230] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,231] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,232] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,233] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,234] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,235] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,236] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,237] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,238] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,239] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,240] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,241] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,242] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,243] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,244] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,245] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,246] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,247] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,248] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,249] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,250] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,251] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,252] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,253] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,254] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,255] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,256] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,257] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,258] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,259] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,260] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:12:38,261] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,262] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,263] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,264] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,265] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,266] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,267] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,268] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,269] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,270] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,271] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,272] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,273] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,274] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,275] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,276] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,277] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,278] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,279] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,280] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,281] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,282] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,283] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,284] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,285] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,286] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,287] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,288] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,289] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,290] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,291] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,292] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,293] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,294] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,295] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,296] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,297] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,298] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,299] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,300] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,301] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,302] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,303] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,304] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,305] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,306] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,307] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,308] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,309] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,310] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,311] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,312] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,313] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,314] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,315] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,316] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,317] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,318] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,319] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,320] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,321] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,322] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,323] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,324] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,325] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,326] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,327] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,328] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,329] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,330] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,331] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,332] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,333] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,334] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,335] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,336] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,337] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,338] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:12:38,339] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:12:38,340] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:12:38,341] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,342] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:12:38,343] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,344] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,345] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,346] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:12:38,347] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:12:38,348] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,349] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,350] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,351] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,352] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,353] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,354] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,355] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,356] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,357] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,358] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,359] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,360] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,361] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,362] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,363] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,364] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,365] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,366] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,367] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,368] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,369] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,370] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,371] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,372] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,373] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,374] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,375] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,376] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,377] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,378] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,379] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,380] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,381] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,382] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,383] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,384] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,385] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,386] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,387] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,388] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,389] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,390] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,391] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,392] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,393] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,394] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,395] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,396] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,397] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,398] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,399] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,400] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,404] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,405] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,406] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,407] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,408] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,409] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,410] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,411] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,412] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,413] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,414] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,415] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,416] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,417] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,418] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,419] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,420] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,421] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,422] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,423] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:12:38,424] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,424] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,425] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,426] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,427] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,428] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,429] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,430] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,431] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,432] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,433] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,434] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,435] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,436] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,437] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,438] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,439] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,440] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,441] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,442] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,443] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,444] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,445] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,446] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,447] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,448] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,449] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,450] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,451] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,452] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,453] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,454] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,455] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,456] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,457] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,458] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,459] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,460] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,461] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,462] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,463] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,464] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,465] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,466] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,467] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,468] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,469] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,470] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,471] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,472] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,473] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,474] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,475] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,476] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,477] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,478] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,479] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,480] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,481] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,482] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,483] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,484] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,485] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,486] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,487] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,488] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,489] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,490] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,491] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,492] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,493] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,494] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,495] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,496] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,497] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,498] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,499] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,500] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,501] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,502] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,503] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,504] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,505] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,506] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,507] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,508] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,509] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,510] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,511] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,512] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,513] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,514] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,515] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,516] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,517] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,518] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,519] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,520] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,521] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,522] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,523] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,524] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,525] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,526] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,527] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,528] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,529] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,530] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,531] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,532] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,533] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,534] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,535] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,536] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,537] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,538] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,539] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,540] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,541] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,542] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,543] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,544] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,545] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,546] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,547] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,548] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,549] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,550] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,551] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,552] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,553] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,554] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,555] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,556] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,557] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,558] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,559] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,560] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,561] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,562] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,563] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,564] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,565] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,566] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,567] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,568] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,569] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,570] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,571] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,572] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,573] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,574] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,575] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,576] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,577] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,578] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,579] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,580] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,581] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,582] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,583] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,584] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,585] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,586] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,587] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,588] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,589] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,590] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,591] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,592] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,593] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,594] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,595] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,596] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,597] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,598] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,599] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,600] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,601] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,602] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,603] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,604] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,605] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,606] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,607] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,608] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,609] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,610] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,611] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,612] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,613] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,614] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,615] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,616] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,617] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,618] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,619] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,620] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,621] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,622] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,623] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,624] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,625] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,626] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,627] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,628] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,629] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,630] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,631] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,632] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,633] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,634] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,635] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,636] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,637] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,638] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,639] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,640] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,641] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,642] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,643] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,644] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,645] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,646] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,647] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,648] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,649] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,650] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,651] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,652] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,653] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,654] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,655] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,656] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,657] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,658] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,659] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,660] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,661] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,662] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,663] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,664] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,665] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,666] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,667] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,668] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,669] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,670] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,671] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,672] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,673] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,674] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,675] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,676] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,677] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,678] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,679] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,680] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,681] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,682] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,683] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,684] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,685] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,686] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,687] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,688] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,689] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,690] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,691] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,692] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,693] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,694] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,695] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,696] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,697] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,698] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,699] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,700] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,701] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,702] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,703] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,704] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,705] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,706] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,707] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,708] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,709] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,710] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,711] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,712] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,713] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,714] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,715] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,716] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,717] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,718] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,719] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,720] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,721] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,722] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,723] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,724] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,725] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,726] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,727] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,728] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,729] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,730] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,731] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,732] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,733] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,734] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,735] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,736] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,737] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,738] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,739] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,740] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,741] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,742] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,743] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,744] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,745] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,746] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,747] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,748] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,749] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,750] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,751] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,752] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,753] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,754] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,755] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,756] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,757] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,758] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,759] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,761] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,762] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,763] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,764] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,765] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,766] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,767] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,768] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,769] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,770] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,771] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,772] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,773] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,774] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,775] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,776] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,777] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,778] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,779] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,780] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,781] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,782] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:12:38,783] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:38,952] A new study created in memory with name: no-name-8833f3dc-1c26-49e9-9a26-7490e72acf32\n[I 2023-11-01 05:12:38,954] Trial 0 finished with values: [45.169714494977704, 15.12964570386523] and parameters: {'x': 2.87268143369479, 'y': 1.7435968582931298}. \n[I 2023-11-01 05:12:38,955] Trial 1 finished with values: [25.756908679676474, 27.05422025044104] and parameters: {'x': 2.4992586011908817, 'y': 0.43924209075692544}. \n[I 2023-11-01 05:12:38,955] Trial 2 finished with values: [103.50685066515666, 10.652571491096431] and parameters: {'x': 4.7787329573988995, 'y': 1.7436811601203739}. \n[I 2023-11-01 05:12:38,956] Trial 3 finished with values: [5.0551778484035355, 38.09863220323756] and parameters: {'x': 1.1038964055022142, 'y': 0.2126198203841182}. \n[I 2023-11-01 05:12:38,957] Trial 4 finished with values: [25.489054886577904, 21.03635260504048] and parameters: {'x': 2.0208926331862624, 'y': 1.5126984784741373}. \n[I 2023-11-01 05:12:38,958] Trial 5 finished with values: [30.760331988405333, 18.555477951978453] and parameters: {'x': 2.084198752115023, 'y': 1.8292617523972654}. \n[I 2023-11-01 05:12:38,959] Trial 6 finished with values: [83.53284869941609, 7.609261324346403] and parameters: {'x': 3.8214390927150257, 'y': 2.5059559923357364}. \n[I 2023-11-01 05:12:38,959] Trial 7 finished with values: [99.25143250560672, 5.070146281984628] and parameters: {'x': 3.9834363323647333, 'y': 2.990834852076972}. \n[I 2023-11-01 05:12:38,960] Trial 8 finished with values: [52.861786177022765, 12.217180819367897] and parameters: {'x': 2.2248509771985967, 'y': 2.8749755952901825}. \n[I 2023-11-01 05:12:38,961] Trial 9 finished with values: [64.09057746529551, 18.36553811264758] and parameters: {'x': 3.9103770774964994, 'y': 0.8553335478711305}. \n[I 2023-11-01 05:12:38,962] Trial 10 finished with values: [67.05225399048057, 9.237453297656703] and parameters: {'x': 3.205737907266357, 'y': 2.5468231127299865}. \n[I 2023-11-01 05:12:38,962] Trial 11 finished with values: [12.537866904627666, 29.070917298649455] and parameters: {'x': 0.8573489944489909, 'y': 1.5490059483017555}. \n[I 2023-11-01 05:12:38,963] Trial 12 finished with values: [12.185693729427843, 35.05095101333054] and parameters: {'x': 1.7445334372415071, 'y': 0.055013804661135146}. \n[I 2023-11-01 05:12:38,964] Trial 13 finished with values: [37.53226783998646, 20.08778827671165] and parameters: {'x': 2.8764854722479622, 'y': 1.0530423960805346}. \n[I 2023-11-01 05:12:38,965] Trial 14 finished with values: [89.58030061684133, 24.30314130344373] and parameters: {'x': 4.7317091357474865, 'y': 0.07748424932917353}. \n[I 2023-11-01 05:12:38,966] Trial 15 finished with values: [21.217084746220912, 22.756769769016245] and parameters: {'x': 1.6889053233212414, 'y': 1.5658448184326572}. \n[I 2023-11-01 05:12:38,967] Trial 16 finished with values: [21.268481870276993, 27.818860891853255] and parameters: {'x': 0.4984573127358938, 'y': 2.251368644835705}. \n[I 2023-11-01 05:12:38,967] Trial 17 finished with values: [79.19242506640799, 15.460313760877442] and parameters: {'x': 4.303572926173037, 'y': 1.130206324399419}. \n[I 2023-11-01 05:12:38,968] Trial 18 finished with values: [86.80687270567977, 6.072458167982788] and parameters: {'x': 3.569316548380451, 'y': 2.9936094524632644}. \n[I 2023-11-01 05:12:38,969] Trial 19 finished with values: [12.178891426504924, 30.58238147477038] and parameters: {'x': 1.6339687867423773, 'y': 0.6122653514432075}. \n[I 2023-11-01 05:12:38,970] Trial 20 finished with values: [0.31733143609192993, 46.41118035498498] and parameters: {'x': 0.2610482880615811, 'y': 0.1057669623422185}. \n[I 2023-11-01 05:12:38,971] Trial 21 finished with values: [29.12724660794914, 25.66308022659677] and parameters: {'x': 2.6493678435637236, 'y': 0.5125052989753277}. \n[I 2023-11-01 05:12:38,971] Trial 22 finished with values: [27.71284889052088, 19.733266274039757] and parameters: {'x': 1.785949594086567, 'y': 1.9335450007724793}. \n[I 2023-11-01 05:12:38,972] Trial 23 finished with values: [42.26050439559807, 15.1538112886538] and parameters: {'x': 1.914062910984028, 'y': 2.6270685700405436}. \n[I 2023-11-01 05:12:38,973] Trial 24 finished with values: [11.685939166937462, 34.072099142537425] and parameters: {'x': 0.18583591848043368, 'y': 1.6991026464392607}. \n[I 2023-11-01 05:12:38,974] Trial 25 finished with values: [107.61507154766356, 9.657541461868542] and parameters: {'x': 4.827489304446254, 'y': 1.8971333380584807}. \n[I 2023-11-01 05:12:38,974] Trial 26 finished with values: [5.471051905646751, 36.332834597658824] and parameters: {'x': 0.4071324177417063, 'y': 1.0963604201335801}. \n[I 2023-11-01 05:12:38,975] Trial 27 finished with values: [48.323062843851, 13.760046306648343] and parameters: {'x': 1.9653109474965929, 'y': 2.866760992934848}. \n[I 2023-11-01 05:12:38,976] Trial 28 finished with values: [97.78306024686843, 8.264112851172344] and parameters: {'x': 4.43729128252227, 'y': 2.1808739385322067}. \n[I 2023-11-01 05:12:38,977] Trial 29 finished with values: [12.671207185480704, 28.338786073532916] and parameters: {'x': 1.4480926109809744, 'y': 1.0348089613027518}. \n[I 2023-11-01 05:12:38,978] Trial 30 finished with values: [10.715506105265804, 35.44259245743667] and parameters: {'x': 0.08934119944939756, 'y': 1.6342872074385806}. \n[I 2023-11-01 05:12:38,979] Trial 31 finished with values: [97.31597313137043, 20.034492946785242] and parameters: {'x': 4.904420138176154, 'y': 0.5250298954295823}. \n[I 2023-11-01 05:12:38,979] Trial 32 finished with values: [24.41585046306151, 31.238978644516873] and parameters: {'x': 2.4705685287110937, 'y': 0.015929868413756543}. \n[I 2023-11-01 05:12:38,980] Trial 33 finished with values: [61.96384115960081, 14.844117103777208] and parameters: {'x': 3.6867785296405082, 'y': 1.3779057889717912}. \n[I 2023-11-01 05:12:38,981] Trial 34 finished with values: [27.985142683651848, 19.681077604768692] and parameters: {'x': 1.7350662836713826, 'y': 1.9964545229430444}. \n[I 2023-11-01 05:12:38,982] Trial 35 finished with values: [27.549943900653666, 20.283414371319545] and parameters: {'x': 1.5234498636158744, 'y': 2.136957296768513}. \n[I 2023-11-01 05:12:38,983] Trial 36 finished with values: [96.92311728760029, 7.088898418737329] and parameters: {'x': 4.276501045845978, 'y': 2.4376870444702963}. \n[I 2023-11-01 05:12:38,983] Trial 37 finished with values: [84.26060485678735, 13.08689659658139] and parameters: {'x': 4.357981127439276, 'y': 1.4398443343222693}. \n[I 2023-11-01 05:12:38,984] Trial 38 finished with values: [43.53533747358643, 25.300589136160774] and parameters: {'x': 3.2879693503592957, 'y': 0.27035517286428745}. \n[I 2023-11-01 05:12:38,985] Trial 39 finished with values: [87.21032061847414, 8.624880916558988] and parameters: {'x': 4.119476381171593, 'y': 2.198293542634362}. \n[I 2023-11-01 05:12:38,986] Trial 40 finished with values: [95.98013440846314, 23.503814925223914] and parameters: {'x': 4.8960813095452975, 'y': 0.15304055814389017}. \n[I 2023-11-01 05:12:38,987] Trial 41 finished with values: [69.65880479127154, 8.576059590175069] and parameters: {'x': 3.170812471257705, 'y': 2.7130516895065764}. \n[I 2023-11-01 05:12:38,987] Trial 42 finished with values: [36.15153299844577, 23.92899018091817] and parameters: {'x': 2.954342352795779, 'y': 0.5565469540735479}. \n[I 2023-11-01 05:12:38,988] Trial 43 finished with values: [0.3071352207214981, 46.18205167383906] and parameters: {'x': 0.17306735062849743, 'y': 0.21640586250563376}. \n[I 2023-11-01 05:12:38,989] Trial 44 finished with values: [26.655105636963388, 28.532610441377546] and parameters: {'x': 2.569950733404562, 'y': 0.24316586338176804}. \n[I 2023-11-01 05:12:38,990] Trial 45 finished with values: [33.71058820769623, 25.358300679722348] and parameters: {'x': 2.8699661275903505, 'y': 0.43696850962982037}. \n[I 2023-11-01 05:12:38,991] Trial 46 finished with values: [80.52426625739427, 7.043331749855067] and parameters: {'x': 3.4940594833971566, 'y': 2.8147139980521936}. \n[I 2023-11-01 05:12:38,991] Trial 47 finished with values: [105.7734588735897, 5.829325487331052] and parameters: {'x': 4.400084511344986, 'y': 2.6613194117616517}. \n[I 2023-11-01 05:12:38,992] Trial 48 finished with values: [75.96202203991298, 9.322021693038508] and parameters: {'x': 3.7544189070792866, 'y': 2.2124294746146873}. \n[I 2023-11-01 05:12:38,993] Trial 49 finished with values: [124.32724971748883, 4.989596953438197] and parameters: {'x': 4.837007535994343, 'y': 2.772214011599058}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:39,659] A new study created in memory with name: no-name-7c61dabd-4780-440a-8b1a-5d697f088dfe\n[I 2023-11-01 05:12:39,663] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,667] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,671] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,675] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,678] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,679] Trial 5 pruned. \n[I 2023-11-01 05:12:39,681] Trial 6 pruned. \n[I 2023-11-01 05:12:39,708] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:12:39,709] Trial 8 pruned. \n[I 2023-11-01 05:12:39,710] Trial 9 pruned. \n[I 2023-11-01 05:12:39,744] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:12:39,777] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:12:39,811] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,844] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,878] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:12:39,912] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,274] A new study created in memory with name: no-name-31ce7d4c-cfc9-4d3c-8317-3ae77dbf05c1\n[I 2023-11-01 05:12:40,275] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,276] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,277] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,280] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,281] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,282] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,283] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,531] A new study created in memory with name: no-name-5121bb6e-aea5-49a3-9198-1021465b7311\n[I 2023-11-01 05:12:40,532] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:40,533] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,534] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,535] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,536] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,537] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,538] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:40,539] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:40,796] A new study created in memory with name: no-name-07b413f8-fa04-4a58-be41-193b1ae6ac71\n[I 2023-11-01 05:12:40,798] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,799] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:12:40,800] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:12:40,801] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,802] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,803] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,804] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,805] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,806] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,807] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,808] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,809] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,810] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,811] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,812] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,813] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,814] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,815] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,816] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,817] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,818] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,819] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,820] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,821] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,822] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,823] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,824] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,825] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,826] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,827] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,828] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,829] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,830] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,831] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,832] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,833] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,834] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,835] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,837] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,838] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,839] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,840] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,841] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,842] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,843] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,844] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,845] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,846] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,847] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,848] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,849] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,850] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,851] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,852] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,853] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,854] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,855] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,856] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,857] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,858] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,859] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,860] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,861] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,862] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,864] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,865] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,866] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,868] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,869] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,870] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,871] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,872] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,873] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,875] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,876] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,877] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,878] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,879] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,880] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,881] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:12:40,882] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,883] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,884] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,885] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,886] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:12:40,887] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,888] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,890] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,891] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,892] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,893] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,894] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,895] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,896] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,897] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,898] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,899] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:12:40,900] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:42,364] A new study created in memory with name: no-name-1362a300-651e-46eb-92f6-23b3914481c0\n[I 2023-11-01 05:12:42,366] Trial 0 finished with values: [15.25165856112849, 28.813249324190714] and parameters: {'x': 0.6634688539188938, 'y': 1.8364976776902475}. \n[I 2023-11-01 05:12:42,367] Trial 1 finished with values: [69.75296535214818, 10.93702391365448] and parameters: {'x': 3.6842184486897245, 'y': 1.965903293748532}. \n[I 2023-11-01 05:12:42,367] Trial 2 finished with values: [10.811581118299692, 29.537516855042078] and parameters: {'x': 1.0589676326754254, 'y': 1.257570209777859}. \n[I 2023-11-01 05:12:42,368] Trial 3 finished with values: [24.77319184521251, 21.99513979338196] and parameters: {'x': 1.2941388313157876, 'y': 2.1256769854763293}. \n[I 2023-11-01 05:12:42,369] Trial 4 finished with values: [46.646347353178356, 18.521997680666505] and parameters: {'x': 3.242443891856529, 'y': 1.0715150239062796}. \n[I 2023-11-01 05:12:42,370] Trial 5 finished with values: [84.70644850822087, 6.953513925074205] and parameters: {'x': 3.7372634605659356, 'y': 2.6850463596321656}. \n[I 2023-11-01 05:12:42,371] Trial 6 finished with values: [22.94369547646535, 30.38779037159412] and parameters: {'x': 2.390635171237225, 'y': 0.1441781785149968}. \n[I 2023-11-01 05:12:42,372] Trial 7 finished with values: [100.87880968896226, 12.039412157929462] and parameters: {'x': 4.780889513458722, 'y': 1.5371395129723884}. \n[I 2023-11-01 05:12:42,372] Trial 8 finished with values: [107.64403022296533, 5.243150477240941] and parameters: {'x': 4.3674843232765035, 'y': 2.7993013845735355}. \n[I 2023-11-01 05:12:42,373] Trial 9 finished with values: [46.63041716490694, 27.113505428154] and parameters: {'x': 3.4140852678829905, 'y': 0.04032461842428303}. \n[I 2023-11-01 05:12:42,374] Trial 10 finished with values: [55.50791890042942, 17.78896033787734] and parameters: {'x': 3.5804205753862095, 'y': 1.0283813633367918}. \n[I 2023-11-01 05:12:42,375] Trial 11 finished with values: [3.5916828766409012, 38.89942975591886] and parameters: {'x': 0.8983385158188301, 'y': 0.30151058050530666}. \n[I 2023-11-01 05:12:42,376] Trial 12 finished with values: [26.312846565524644, 20.446526821839278] and parameters: {'x': 1.9658299660179797, 'y': 1.6473385159362084}. \n[I 2023-11-01 05:12:42,377] Trial 13 finished with values: [116.39194935933098, 4.301159261477542] and parameters: {'x': 4.489894697663484, 'y': 2.9897881101720363}. \n[I 2023-11-01 05:12:42,378] Trial 14 finished with values: [67.22012812736449, 10.353747419015608] and parameters: {'x': 3.482599971965171, 'y': 2.1625284893173804}. \n[I 2023-11-01 05:12:42,379] Trial 15 finished with values: [6.8934857319614276, 36.54950199714271] and parameters: {'x': 0.22383841445927644, 'y': 1.2935485291254882}. \n[I 2023-11-01 05:12:42,380] Trial 16 finished with values: [24.044895825158367, 21.87746842556638] and parameters: {'x': 2.0113659864016715, 'y': 1.4020095666706496}. \n[I 2023-11-01 05:12:42,380] Trial 17 finished with values: [81.55706985664897, 10.162010057787526] and parameters: {'x': 4.0726485977959435, 'y': 1.9500771428415284}. \n[I 2023-11-01 05:12:42,381] Trial 18 finished with values: [28.451959830785857, 27.613540934246515] and parameters: {'x': 0.29983363080682446, 'y': 2.650111271538171}. \n[I 2023-11-01 05:12:42,382] Trial 19 finished with values: [45.512740539116464, 15.62019568359409] and parameters: {'x': 2.9621461417039034, 'y': 1.613652803414599}. \n[I 2023-11-01 05:12:42,383] Trial 20 finished with values: [27.274774011439256, 21.7709561775863] and parameters: {'x': 1.1705904909084475, 'y': 2.334183241618904}. \n[I 2023-11-01 05:12:42,384] Trial 21 finished with values: [58.063418039904136, 10.88600513260744] and parameters: {'x': 2.9413489569342657, 'y': 2.4216359808025936}. \n[I 2023-11-01 05:12:42,385] Trial 22 finished with values: [97.94050921096357, 8.344549851174609] and parameters: {'x': 4.449886557202191, 'y': 2.164171187954437}. \n[I 2023-11-01 05:12:42,386] Trial 23 finished with values: [37.874599437542784, 17.69029030328953] and parameters: {'x': 1.4800283230259499, 'y': 2.697807632583667}. \n[I 2023-11-01 05:12:42,387] Trial 24 finished with values: [67.66314049213105, 8.80929697236489] and parameters: {'x': 3.035641898712118, 'y': 2.7750069163546693}. \n[I 2023-11-01 05:12:42,388] Trial 25 finished with values: [58.83076071344878, 11.346510176214428] and parameters: {'x': 3.153142767231233, 'y': 2.1829752329835435}. \n[I 2023-11-01 05:12:42,388] Trial 26 finished with values: [70.42290655956856, 8.506437005544525] and parameters: {'x': 3.221513223479186, 'y': 2.6884157399555755}. \n[I 2023-11-01 05:12:42,389] Trial 27 finished with values: [27.537257010588057, 27.41342275214466] and parameters: {'x': 2.600852657022915, 'y': 0.34623649302732085}. \n[I 2023-11-01 05:12:42,390] Trial 28 finished with values: [74.88177949333578, 18.421666771164425] and parameters: {'x': 4.257151504144183, 'y': 0.7727263060727689}. \n[I 2023-11-01 05:12:42,391] Trial 29 finished with values: [57.10535724106288, 11.048483865329231] and parameters: {'x': 2.8962505312526163, 'y': 2.4265350132410326}. \n[I 2023-11-01 05:12:42,392] Trial 30 finished with values: [49.432694553340866, 13.973534272161931] and parameters: {'x': 2.9905493080428918, 'y': 1.8479146285744368}. \n[I 2023-11-01 05:12:42,393] Trial 31 finished with values: [25.602161012646206, 27.991784870904844] and parameters: {'x': 0.3329513688951008, 'y': 2.50792416933057}. \n[I 2023-11-01 05:12:42,394] Trial 32 finished with values: [23.350807470886508, 21.709072955185814] and parameters: {'x': 1.6231088482304357, 'y': 1.7897540430231458}. \n[I 2023-11-01 05:12:42,395] Trial 33 finished with values: [40.345438207293114, 15.905409157729654] and parameters: {'x': 1.8049573916413553, 'y': 2.6131376477680073}. \n[I 2023-11-01 05:12:42,396] Trial 34 finished with values: [46.67453180961124, 16.33452190740273] and parameters: {'x': 3.1011888747918084, 'y': 1.4322222297081997}. \n[I 2023-11-01 05:12:42,397] Trial 35 finished with values: [31.78115383893886, 23.210270180432577] and parameters: {'x': 0.7588242844530957, 'y': 2.7146775434771184}. \n[I 2023-11-01 05:12:42,397] Trial 36 finished with values: [29.87943389703291, 20.435855913167934] and parameters: {'x': 2.404995594231501, 'y': 1.2984046618775282}. \n[I 2023-11-01 05:12:42,398] Trial 37 finished with values: [82.23137096888479, 9.571565319216884] and parameters: {'x': 4.039569538299606, 'y': 2.0590582040008254}. \n[I 2023-11-01 05:12:42,399] Trial 38 finished with values: [17.172388329921844, 25.462357035128612] and parameters: {'x': 1.1797744915963082, 'y': 1.7032995131388766}. \n[I 2023-11-01 05:12:42,400] Trial 39 finished with values: [5.092296427278509, 35.410526087791254] and parameters: {'x': 0.87964895473925, 'y': 0.7066058471635881}. \n[I 2023-11-01 05:12:42,401] Trial 40 finished with values: [19.50355698307945, 25.58958846059776] and parameters: {'x': 0.9223500139239432, 'y': 2.006280064593267}. \n[I 2023-11-01 05:12:42,402] Trial 41 finished with values: [22.77274224028932, 21.952955681866147] and parameters: {'x': 1.6628247320213918, 'y': 1.711198255799227}. \n[I 2023-11-01 05:12:42,403] Trial 42 finished with values: [40.041253429676594, 18.648198683847] and parameters: {'x': 1.2148206974596176, 'y': 2.9213907698975974}. \n[I 2023-11-01 05:12:42,404] Trial 43 finished with values: [97.17250494199376, 17.342679433967707] and parameters: {'x': 4.857044581932612, 'y': 0.8380000982204621}. \n[I 2023-11-01 05:12:42,404] Trial 44 finished with values: [78.5954682421041, 13.941474834670439] and parameters: {'x': 4.2227803593915, 'y': 1.3479588631940587}. \n[I 2023-11-01 05:12:42,405] Trial 45 finished with values: [103.27219972717161, 12.450828763800269] and parameters: {'x': 4.862619943432618, 'y': 1.4741021733666455}. \n[I 2023-11-01 05:12:42,406] Trial 46 finished with values: [12.659093931548314, 30.50067771295368] and parameters: {'x': 0.5870970621534538, 'y': 1.679312514839886}. \n[I 2023-11-01 05:12:42,407] Trial 47 finished with values: [102.41129373346823, 10.707980934741007] and parameters: {'x': 4.752409282953863, 'y': 1.7370749669087417}. \n[I 2023-11-01 05:12:42,408] Trial 48 finished with values: [42.71265145261225, 14.667252965925135] and parameters: {'x': 2.5163506330056586, 'y': 2.084740356717134}. \n[I 2023-11-01 05:12:42,409] Trial 49 finished with values: [2.7876332593969875, 39.94019109985055] and parameters: {'x': 0.7811191201740064, 'y': 0.29455260132586325}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:12:42,611] A new study created in memory with name: no-name-bb0938ce-beb7-4918-aafc-97bf4ac8d7be\n[I 2023-11-01 05:12:42,612] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,613] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,614] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,615] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,616] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,617] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,618] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,628] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,641] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,648] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,655] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,661] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,668] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,676] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,682] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,689] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,696] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,703] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,710] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,717] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,724] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,731] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,738] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,745] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,751] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:12:42,758] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:12:42,759] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:12:42,988] A new study created in memory with name: no-name-98c7b83f-1607-46c7-97b6-0bba06412927\n[I 2023-11-01 05:12:42,989] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:12:42,990] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,991] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,992] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,993] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,994] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,995] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:12:42,996] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:12:43,239] A new study created in memory with name: no-name-fdeb4d57-e90f-4e57-9b06-8e8dbfdc116e\n[I 2023-11-01 05:12:43,489] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0004989627005021362, 'reg_lambda': 0.0001340079768036678, 'num_leaves': 245, 'colsample_bytree': 0.5639517570152723, 'subsample': 0.515273719985223, 'subsample_freq': 7, 'min_child_samples': 24}. Best is trial 0 with value: 0.9831746031746033.\n[I 2023-11-01 05:12:43,644] Trial 1 finished with value: 0.971904761904762 and parameters: {'reg_alpha': 0.1773301958494506, 'reg_lambda': 0.21241910181124352, 'num_leaves': 228, 'colsample_bytree': 0.47686039975387623, 'subsample': 0.9285500732940954, 'subsample_freq': 4, 'min_child_samples': 25}. Best is trial 1 with value: 0.971904761904762.\n[I 2023-11-01 05:12:43,685] Trial 2 finished with value: 0.39999999999999997 and parameters: {'reg_alpha': 1.2845595727016514e-06, 'reg_lambda': 0.00010308638388944868, 'num_leaves': 119, 'colsample_bytree': 0.8045240681366516, 'subsample': 0.7462520902094865, 'subsample_freq': 2, 'min_child_samples': 98}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,828] Trial 3 finished with value: 0.9888888888888889 and parameters: {'reg_alpha': 0.0003999956901742235, 'reg_lambda': 3.2854616735249914e-05, 'num_leaves': 221, 'colsample_bytree': 0.8095767177424433, 'subsample': 0.963301174767533, 'subsample_freq': 2, 'min_child_samples': 44}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,898] Trial 4 finished with value: 0.8877777777777778 and parameters: {'reg_alpha': 1.4611223076842106e-07, 'reg_lambda': 6.52495718234125e-07, 'num_leaves': 105, 'colsample_bytree': 0.7892580823460396, 'subsample': 0.6178789085381777, 'subsample_freq': 5, 'min_child_samples': 50}. Best is trial 2 with value: 0.39999999999999997.\n[I 2023-11-01 05:12:43,939] Trial 5 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 3.5190938016565096e-07, 'reg_lambda': 0.047537360582616865, 'num_leaves': 20, 'colsample_bytree': 0.5032823313197803, 'subsample': 0.7077351488253056, 'subsample_freq': 2, 'min_child_samples': 96}. Best is trial 5 with value: 0.3996825396825397.\n[I 2023-11-01 05:12:43,979] Trial 6 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00030362745740210014, 'reg_lambda': 8.346647566700228e-08, 'num_leaves': 224, 'colsample_bytree': 0.9159183234506485, 'subsample': 0.7862819530518422, 'subsample_freq': 6, 'min_child_samples': 93}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,099] Trial 7 finished with value: 0.9720634920634922 and parameters: {'reg_alpha': 0.012701572280528, 'reg_lambda': 1.2996658140863488e-07, 'num_leaves': 220, 'colsample_bytree': 0.7451785607660331, 'subsample': 0.5651556251221458, 'subsample_freq': 6, 'min_child_samples': 33}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,143] Trial 8 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0055075391430219785, 'reg_lambda': 1.4728663564805908, 'num_leaves': 192, 'colsample_bytree': 0.8691141753082686, 'subsample': 0.6765491265984891, 'subsample_freq': 7, 'min_child_samples': 81}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,248] Trial 9 finished with value: 0.9603174603174605 and parameters: {'reg_alpha': 1.7767877046321394e-08, 'reg_lambda': 5.6273923611910045e-05, 'num_leaves': 43, 'colsample_bytree': 0.49460595255811096, 'subsample': 0.9455202544244882, 'subsample_freq': 3, 'min_child_samples': 65}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,407] Trial 10 finished with value: 0.9215873015873015 and parameters: {'reg_alpha': 7.239741733833304, 'reg_lambda': 1.3803908304030399e-08, 'num_leaves': 165, 'colsample_bytree': 0.9886560943318634, 'subsample': 0.4180692738594515, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 6 with value: 0.3985714285714286.\n[I 2023-11-01 05:12:44,493] Trial 11 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 2.9135074540153182e-05, 'reg_lambda': 5.228289263654254, 'num_leaves': 170, 'colsample_bytree': 0.9365945972913505, 'subsample': 0.7953554489695067, 'subsample_freq': 7, 'min_child_samples': 77}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,571] Trial 12 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 1.0411484880490669e-05, 'reg_lambda': 9.76520128904819, 'num_leaves': 172, 'colsample_bytree': 0.960332239636458, 'subsample': 0.82905263132833, 'subsample_freq': 6, 'min_child_samples': 74}. Best is trial 11 with value: 0.3979365079365079.\n[I 2023-11-01 05:12:44,647] Trial 13 finished with value: 0.33174603174603173 and parameters: {'reg_alpha': 9.965913597751986e-06, 'reg_lambda': 0.009223516099156769, 'num_leaves': 146, 'colsample_bytree': 0.8939624282634053, 'subsample': 0.814099801527945, 'subsample_freq': 7, 'min_child_samples': 83}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,750] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 1.302095509476826e-05, 'reg_lambda': 0.010344589905892279, 'num_leaves': 75, 'colsample_bytree': 0.8896665898636799, 'subsample': 0.829462623426237, 'subsample_freq': 7, 'min_child_samples': 69}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,829] Trial 15 finished with value: 0.4 and parameters: {'reg_alpha': 8.886788183661473e-06, 'reg_lambda': 0.004498977442654113, 'num_leaves': 141, 'colsample_bytree': 0.6672153140660972, 'subsample': 0.85320489678218, 'subsample_freq': 5, 'min_child_samples': 84}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:44,974] Trial 16 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 2.8402234864540678e-05, 'reg_lambda': 0.6874231774622149, 'num_leaves': 97, 'colsample_bytree': 0.9910431994882996, 'subsample': 0.8880789602947069, 'subsample_freq': 4, 'min_child_samples': 61}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,054] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 7.373581006991595e-07, 'reg_lambda': 6.86574763091415, 'num_leaves': 145, 'colsample_bytree': 0.8808057501678996, 'subsample': 0.7719681782489726, 'subsample_freq': 1, 'min_child_samples': 80}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,215] Trial 18 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 1.0828039316585862e-08, 'reg_lambda': 0.00471180103314662, 'num_leaves': 183, 'colsample_bytree': 0.6848988810790538, 'subsample': 0.9852618154792894, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,294] Trial 19 finished with value: 0.3976190476190476 and parameters: {'reg_alpha': 5.229951121796169e-05, 'reg_lambda': 0.14003903153735794, 'num_leaves': 152, 'colsample_bytree': 0.9392422661430488, 'subsample': 0.8780240285331317, 'subsample_freq': 6, 'min_child_samples': 87}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,373] Trial 20 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 2.240259180353648e-06, 'reg_lambda': 0.11265731923181353, 'num_leaves': 76, 'colsample_bytree': 0.8493366630906048, 'subsample': 0.8789736378937664, 'subsample_freq': 6, 'min_child_samples': 88}. Best is trial 13 with value: 0.33174603174603173.\n[I 2023-11-01 05:12:45,453] Trial 21 finished with value: 0.30968253968253967 and parameters: {'reg_alpha': 7.531497756241199e-05, 'reg_lambda': 1.0406356336718092, 'num_leaves': 153, 'colsample_bytree': 0.944154261644426, 'subsample': 0.8076404312507145, 'subsample_freq': 7, 'min_child_samples': 74}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,533] Trial 22 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 8.900228405603179e-05, 'reg_lambda': 0.4525352137155296, 'num_leaves': 145, 'colsample_bytree': 0.9277480291799207, 'subsample': 0.8939295818267433, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,614] Trial 23 finished with value: 0.315079365079365 and parameters: {'reg_alpha': 6.757154468946991e-05, 'reg_lambda': 0.026522121061506972, 'num_leaves': 198, 'colsample_bytree': 0.9499998024518667, 'subsample': 0.8283097867242105, 'subsample_freq': 5, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,697] Trial 24 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.0001480505222895097, 'reg_lambda': 0.0010118744350787984, 'num_leaves': 202, 'colsample_bytree': 0.9962490609638656, 'subsample': 0.8132541305481039, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,800] Trial 25 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 6.1426199187584315e-06, 'reg_lambda': 0.030361037873385576, 'num_leaves': 120, 'colsample_bytree': 0.8531521068256006, 'subsample': 0.6993715674709056, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,886] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0012777774203934786, 'reg_lambda': 0.025528911829261626, 'num_leaves': 204, 'colsample_bytree': 0.9507555923315079, 'subsample': 0.7579233968145745, 'subsample_freq': 4, 'min_child_samples': 100}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:45,967] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 2.915879780447314e-06, 'reg_lambda': 1.0952846934807543, 'num_leaves': 246, 'colsample_bytree': 0.8997898021903301, 'subsample': 0.8435222589897015, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,047] Trial 28 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 6.184587860479794e-05, 'reg_lambda': 0.0008797584557490148, 'num_leaves': 160, 'colsample_bytree': 0.8388120209645128, 'subsample': 0.9291736569507019, 'subsample_freq': 5, 'min_child_samples': 90}. Best is trial 21 with value: 0.30968253968253967.\n[I 2023-11-01 05:12:46,189] Trial 29 finished with value: 0.9607936507936508 and parameters: {'reg_alpha': 0.001067705806158682, 'reg_lambda': 0.09430604605020981, 'num_leaves': 131, 'colsample_bytree': 0.637287554230887, 'subsample': 0.7241837140806298, 'subsample_freq': 7, 'min_child_samples': 53}. Best is trial 21 with value: 0.30968253968253967.\n:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,144] Trial 6 failed with value None.\n[I 2023-11-01 05:13:23,158] Trial 8 finished with value: 0.07322668224999963 and parameters: {'x': 0.27060429089354743}. Best is trial 3 with value: 0.014842189858393293.\n[I 2023-11-01 05:13:23,173] Trial 10 finished with value: 0.01692646582767547 and parameters: {'x': 0.13010175182400685}. Best is trial 3 with value: 0.014842189858393293.\n[W 2023-11-01 05:13:23,236] Trial 9 failed with parameters: {'x': 0.8976523898537465} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,237] Trial 9 failed with value None.\n[I 2023-11-01 05:13:23,238] Trial 11 pruned. \n[I 2023-11-01 05:13:23,252] Trial 12 finished with value: 0.0003546374314571753 and parameters: {'x': 0.018831819653373258}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,259] Trial 13 finished with value: 0.0005037418794397232 and parameters: {'x': 0.022444194782609672}. Best is trial 12 with value: 0.0003546374314571753.\n[I 2023-11-01 05:13:23,261] Trial 14 finished with value: 0.00027509402929743463 and parameters: {'x': 0.01658595879946151}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,270] Trial 15 finished with value: 0.0004877388879542388 and parameters: {'x': 0.02208481125013838}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:23,286] Trial 16 finished with value: 0.0005880074832481517 and parameters: {'x': 0.024248865607449592}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,366] Trial 17 failed with parameters: {'x': 0.8917662044256499} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,368] Trial 17 failed with value None.\n[W 2023-11-01 05:13:23,385] Trial 18 failed with parameters: {'x': 0.9187041860215172} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,387] Trial 18 failed with value None.\n[W 2023-11-01 05:13:23,462] Trial 19 failed with parameters: {'x': 0.8655576854046144} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,464] Trial 19 failed with value None.\n[I 2023-11-01 05:13:23,496] Trial 21 finished with value: 0.0541960353742624 and parameters: {'x': 0.232800419617883}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,503] Trial 20 failed with parameters: {'x': 0.9920065637328724} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,505] Trial 20 failed with value None.\n[I 2023-11-01 05:13:23,551] Trial 23 finished with value: 0.11255199409253754 and parameters: {'x': 0.3354876958884447}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,592] Trial 22 failed with parameters: {'x': 0.8922373123414834} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,595] Trial 22 failed with value None.\n[W 2023-11-01 05:13:23,664] Trial 24 failed with parameters: {'x': 0.9897396352498966} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,665] Trial 24 failed with value None.\n[W 2023-11-01 05:13:23,693] Trial 25 failed with parameters: {'x': 0.9032490745502213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,696] Trial 25 failed with value None.\n[W 2023-11-01 05:13:23,763] Trial 26 failed with parameters: {'x': 0.8961757882287438} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,765] Trial 26 failed with value None.\n[I 2023-11-01 05:13:23,786] Trial 28 finished with value: 0.018644199612647534 and parameters: {'x': 0.13654376445904637}. Best is trial 14 with value: 0.00027509402929743463.\n[W 2023-11-01 05:13:23,797] Trial 27 failed with parameters: {'x': 0.9348392751793811} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,798] Trial 27 failed with value None.\n[W 2023-11-01 05:13:23,889] Trial 29 failed with parameters: {'x': 0.9479439299738556} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,890] Trial 29 failed with value None.\n[W 2023-11-01 05:13:23,904] Trial 30 failed with parameters: {'x': 0.9884845231686085} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,905] Trial 30 failed with value None.\n[W 2023-11-01 05:13:23,995] Trial 31 failed with parameters: {'x': 0.9695450277743725} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:23,996] Trial 31 failed with value None.\n[W 2023-11-01 05:13:24,003] Trial 32 failed with parameters: {'x': 0.9142222650390485} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,004] Trial 32 failed with value None.\n[I 2023-11-01 05:13:24,048] Trial 33 pruned. \n[W 2023-11-01 05:13:24,110] Trial 34 failed with parameters: {'x': 0.9827517400721096} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,112] Trial 34 failed with value None.\n[W 2023-11-01 05:13:24,152] Trial 35 failed with parameters: {'x': 0.9531061650471164} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,154] Trial 35 failed with value None.\n[W 2023-11-01 05:13:24,220] Trial 36 failed with parameters: {'x': 0.9915974653265378} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,222] Trial 36 failed with value None.\n[W 2023-11-01 05:13:24,254] Trial 37 failed with parameters: {'x': 0.9213666909450334} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,257] Trial 37 failed with value None.\n[I 2023-11-01 05:13:24,260] Trial 38 finished with value: 0.08353757283206283 and parameters: {'x': 0.2890286712976116}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,294] Trial 39 finished with value: 0.07565172224519442 and parameters: {'x': 0.2750485816091303}. Best is trial 14 with value: 0.00027509402929743463.\n[I 2023-11-01 05:13:24,303] Trial 41 finished with value: 2.263093710510395e-05 and parameters: {'x': 0.004757198451305553}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,310] Trial 42 finished with value: 2.4496602691801658e-05 and parameters: {'x': 0.004949404276456073}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,368] Trial 40 failed with parameters: {'x': 0.9523171958909332} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,370] Trial 40 failed with value None.\n[I 2023-11-01 05:13:24,394] Trial 44 finished with value: 0.012203171078959468 and parameters: {'x': 0.1104679640391705}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,414] Trial 43 failed with parameters: {'x': 0.9766429807954895} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,417] Trial 43 failed with value None.\n[I 2023-11-01 05:13:24,424] Trial 45 finished with value: 0.04179347467981478 and parameters: {'x': 0.20443452418761068}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,445] Trial 46 finished with value: 0.03467733830492518 and parameters: {'x': 0.18621852299093444}. Best is trial 41 with value: 2.263093710510395e-05.\n[I 2023-11-01 05:13:24,461] Trial 48 finished with value: 0.006351027570575772 and parameters: {'x': 0.07969333454295768}. Best is trial 41 with value: 2.263093710510395e-05.\n[W 2023-11-01 05:13:24,525] Trial 47 failed with parameters: {'x': 0.9181981949000149} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,526] Trial 47 failed with value None.\n[W 2023-11-01 05:13:24,562] Trial 49 failed with parameters: {'x': 0.9398437875142414} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:13:24,563] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:25,018] A new study created in memory with name: no-name-d41f88e9-648b-4e61-8ad7-da9e8f08ed64\n[I 2023-11-01 05:13:25,019] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:25,020] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,021] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,022] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,023] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,024] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,025] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,026] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,027] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,034] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,041] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,048] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,055] Trial 13 finished with value: 144.99637750321034 and parameters: {'x': 11.999849061684499, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,061] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,069] Trial 15 finished with value: 1811.5559443721502 and parameters: {'x': -42.574122943076, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,076] Trial 16 finished with value: 101.03717560874351 and parameters: {'x': -10.001858607716043, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,083] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,090] Trial 18 finished with value: 731.8040203733697 and parameters: {'x': 27.03338714207618, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,097] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,103] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,110] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,117] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,124] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,131] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,138] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,145] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,152] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,159] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:25,166] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:13:25,392] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:13:25,393] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,394] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:13:25,395] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:13:25,396] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,397] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,398] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,399] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,400] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,401] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,402] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,403] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,404] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,405] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,406] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,407] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,408] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,409] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,410] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,411] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,412] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,413] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,414] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,415] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,416] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,417] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,418] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,419] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,420] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,421] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,422] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,423] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,424] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,425] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,426] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,427] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,428] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,429] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,430] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,431] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,432] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,433] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,434] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,435] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,436] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,437] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,438] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,439] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,440] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:13:25,441] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,441] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,442] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,443] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,444] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,445] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,446] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,447] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,448] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,449] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,450] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,451] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,452] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,453] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,454] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,455] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,456] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,457] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,458] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,459] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,460] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:13:25,461] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,462] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,463] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,464] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,465] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,466] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,467] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,468] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,469] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,470] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,471] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,472] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,473] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:13:25,474] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,475] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,476] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,477] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,478] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,479] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,480] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,481] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,482] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,483] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,484] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,485] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,486] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,487] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,488] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,489] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,490] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,491] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,492] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,493] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,494] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,495] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,496] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,497] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,498] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,499] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,500] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,501] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,502] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,503] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,504] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,505] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,506] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,508] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,509] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,510] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,511] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,512] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,513] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,514] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,515] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,516] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,517] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,518] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,519] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,520] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,521] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,522] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,523] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,524] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,525] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,526] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,527] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,528] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,529] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,530] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,531] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,532] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,533] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,534] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,535] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,536] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,537] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,538] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,539] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,540] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,541] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,542] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,543] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,544] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,545] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,546] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,547] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,548] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,549] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,550] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,551] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,552] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,553] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,554] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,555] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,556] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,557] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,558] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,559] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,560] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,561] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,562] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,563] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,564] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,565] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,566] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,567] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,568] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,569] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,570] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,571] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,572] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,573] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,574] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,575] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,576] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,577] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,578] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,579] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,580] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,581] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,582] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,583] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:13:25,584] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,585] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,586] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,587] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,588] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,589] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,590] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,591] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,592] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,593] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,594] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,595] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,596] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,597] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,598] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,599] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,600] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,601] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,602] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,603] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,604] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,605] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,606] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,607] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,608] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,609] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,610] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,611] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,612] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,613] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,614] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,615] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,616] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,617] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,618] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,619] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,620] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,621] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,622] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,623] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,624] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,625] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,626] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,627] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,628] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,629] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,630] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,631] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,632] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,633] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,634] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,635] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,636] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,637] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,638] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,639] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,640] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,641] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,642] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,643] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,644] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,645] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,646] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,647] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,648] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,649] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,650] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,651] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,652] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,653] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,654] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,655] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,656] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,657] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,658] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,659] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,660] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,661] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,662] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,663] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,664] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,665] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,666] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,667] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,668] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,669] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,670] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,671] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,672] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,673] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,674] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,675] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,676] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,677] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,678] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,679] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,680] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,681] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,682] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,683] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,684] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,685] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,686] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,687] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,688] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,689] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,690] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,691] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,692] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,693] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,694] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,695] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,696] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,697] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,698] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,699] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,700] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,701] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,702] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,703] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,704] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,705] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,706] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,707] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,708] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,709] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,710] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,711] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,712] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,713] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,714] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,715] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,716] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,717] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,718] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,719] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,720] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,721] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,722] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,723] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,724] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,725] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,726] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,727] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,728] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,729] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,730] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,731] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,732] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,733] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,734] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,735] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,736] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,737] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,738] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,739] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,740] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,741] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,742] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,743] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:13:25,744] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,745] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,746] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,747] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,748] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,749] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,750] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,751] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,752] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,753] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,754] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,755] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,756] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,757] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,758] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,759] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,760] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,761] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,762] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,763] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,764] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,765] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,766] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,767] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,768] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,769] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,770] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,771] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,772] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,773] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,774] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,775] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,776] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,777] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,778] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,779] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,780] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,781] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,782] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,783] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,784] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,785] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,786] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,787] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,788] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,789] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,790] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,791] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,792] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,793] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,794] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,795] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,796] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,797] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,798] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,799] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,800] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,801] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:13:25,802] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:13:25,802] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:13:25,803] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:13:25,804] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,805] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,806] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,807] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,808] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,809] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,810] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,811] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,812] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,813] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,814] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,815] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,816] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,817] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,818] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,819] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,820] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,821] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,822] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,823] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,824] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,825] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,826] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:13:25,827] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,827] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,828] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,829] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,830] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,831] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,832] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,833] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,834] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:13:25,835] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,836] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,837] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,838] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,839] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,840] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,841] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,842] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,843] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,844] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,845] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,846] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,847] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,848] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,849] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,850] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,851] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,852] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,853] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,854] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,855] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,856] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,857] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,858] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,859] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,860] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,861] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,862] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,863] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,864] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:13:25,865] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,866] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,867] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,868] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,869] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,870] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,871] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,872] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,873] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,874] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,875] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,876] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,877] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,878] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,879] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,880] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,881] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,882] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,883] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,884] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,885] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,886] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,887] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,888] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,889] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,890] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,891] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,892] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,893] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,894] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,895] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,896] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,897] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,898] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,899] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,900] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,901] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,902] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,903] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,904] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,905] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,906] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,907] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,908] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,909] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,910] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,911] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,912] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,913] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,914] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,915] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,916] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,917] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,918] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,919] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,920] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,921] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,922] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,923] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,924] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,925] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,926] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,927] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,928] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,929] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,930] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,931] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,932] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,933] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,934] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,935] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,936] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,937] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,938] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,939] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,940] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,941] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,942] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,943] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,944] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,945] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,946] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,947] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,948] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,949] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,950] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,951] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,952] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,953] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,954] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,955] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,956] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,957] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,958] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,959] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,960] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,961] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,962] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,963] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,964] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,965] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,966] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,967] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,968] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,969] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,970] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,971] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,972] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,973] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,974] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,975] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,976] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,977] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,978] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,979] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,980] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,981] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,982] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,983] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,984] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,985] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,986] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,987] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,988] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,989] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,990] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,991] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,992] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,993] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,994] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,995] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,996] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,997] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,998] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:25,999] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,000] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,001] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,002] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,003] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,004] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,005] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,006] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,007] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,008] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,009] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,010] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,011] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,012] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,013] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,014] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,015] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,016] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,017] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,018] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,019] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,020] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,021] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,022] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,023] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,024] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,025] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,026] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,027] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,028] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,029] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,030] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,031] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,032] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,033] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,034] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,035] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,036] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,037] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,038] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,039] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,040] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,041] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,042] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,043] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,044] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,045] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,046] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,047] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,048] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,049] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,050] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,051] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,052] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,053] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,054] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,055] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,056] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,057] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,058] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,059] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,060] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,061] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,062] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,063] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,064] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,065] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,066] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,067] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,068] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,069] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,070] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,071] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,072] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,073] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,074] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,075] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,076] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,077] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,078] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,079] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,080] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,081] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,082] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,083] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,084] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,086] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,087] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,088] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,089] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,090] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,091] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,092] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,093] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,094] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,095] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,096] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,097] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,098] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,099] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,100] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,101] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,102] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,103] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,104] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,105] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,106] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,107] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,108] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,109] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,110] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,111] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,112] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,113] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,114] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,115] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,116] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,117] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,118] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,119] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,120] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,121] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,122] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,123] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,124] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,125] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,126] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,127] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,128] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,129] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,130] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,131] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,132] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,133] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,134] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,135] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,136] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,137] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,138] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,139] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,140] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,141] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,142] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,143] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,144] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,145] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,146] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,147] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:13:26,148] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,149] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,150] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,151] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,152] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,153] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,154] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,155] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,156] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,157] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,158] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,159] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,160] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,161] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,162] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,163] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,164] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,165] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,166] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,167] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,168] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,169] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,170] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,171] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,172] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,173] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,174] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,175] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,176] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,177] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,178] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,179] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,180] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,181] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,182] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,183] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,184] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,185] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,186] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,187] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,188] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,189] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,190] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,191] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,192] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,193] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,194] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,195] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,196] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,197] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,198] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,199] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,200] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,201] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,202] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,203] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,204] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,205] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,206] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,207] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,208] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,209] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,210] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,211] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,212] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,213] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,214] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,215] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,216] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,217] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,218] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,219] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,220] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,221] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,222] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,223] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,224] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,225] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,226] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,227] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,228] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,229] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,230] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,231] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,232] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,233] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,234] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:13:26,235] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:13:26,236] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:13:26,237] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,237] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,238] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:13:26,239] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,240] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,241] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,242] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:13:26,243] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,244] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:13:26,245] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,246] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,247] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,248] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,249] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,250] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,251] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,252] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,253] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,254] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,255] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,256] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,257] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,258] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,259] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,260] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,261] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,262] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,263] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,264] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,265] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,266] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,267] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,268] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,269] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,270] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,271] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,272] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,273] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,274] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,275] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,276] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,277] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,278] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,279] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,280] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,281] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,282] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,283] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,284] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,285] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,286] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,287] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,288] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,289] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,290] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,291] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,292] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,293] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,294] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,295] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,296] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,297] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,298] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,299] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,300] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,301] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,302] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,303] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,304] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,305] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,306] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,307] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,308] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,309] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,310] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,311] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,312] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,313] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,314] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,315] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,316] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,317] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,318] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,319] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,320] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:13:26,321] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,322] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,323] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,324] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,325] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,326] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,327] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,328] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,329] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,330] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,331] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,332] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,333] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,334] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,335] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,336] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,337] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,338] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,339] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,340] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,341] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,342] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,343] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,344] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,345] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,346] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,347] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,348] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,349] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,350] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,351] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,352] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,353] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,354] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,355] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,356] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,357] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,358] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,359] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,360] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,361] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,362] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,363] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,364] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,365] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,366] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,367] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,368] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,369] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,370] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,371] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,372] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,373] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,374] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,375] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,376] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,377] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,378] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,379] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,380] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,381] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,382] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,383] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,384] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,385] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,386] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,387] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,388] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,389] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,390] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,391] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,392] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,393] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,394] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,395] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,396] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,397] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,398] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,399] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,400] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,401] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,402] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,403] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,404] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,405] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,406] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,407] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,408] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,409] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,410] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,411] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,412] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,413] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,414] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,415] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,416] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,417] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,418] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,419] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,420] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,421] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,422] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,423] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,424] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,425] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,426] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,427] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,428] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,429] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,430] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,431] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,432] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,433] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,434] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,435] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,436] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,437] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,438] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,439] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,440] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,441] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,442] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,443] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,444] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,445] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,446] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,447] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,448] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,449] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,450] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,451] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,452] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,453] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,454] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,455] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,456] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,457] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,458] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,459] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,460] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,461] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,462] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,463] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,464] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,465] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,466] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,467] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,468] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,469] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,470] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,471] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,472] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,473] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,474] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,475] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,476] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,477] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,478] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,479] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,480] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,481] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,482] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,483] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,484] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,485] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,486] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,487] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,488] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,489] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,490] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,491] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,492] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,493] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,494] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,495] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,496] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,497] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,498] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,499] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,500] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,501] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,502] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,503] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,504] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,505] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,506] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,507] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,508] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,509] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,510] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,511] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,512] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,513] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,514] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,515] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,516] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,517] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,518] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,519] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,520] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,521] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,522] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,523] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,524] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,525] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,526] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,527] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,528] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,529] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,530] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,531] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,532] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,534] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,535] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,536] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,537] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,538] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,539] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,540] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,541] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,542] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,543] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,544] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,545] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,546] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,547] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,548] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,549] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,550] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,551] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,552] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,553] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,554] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,555] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,556] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,557] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,558] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,559] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,560] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,561] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,562] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,563] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,564] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,565] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,566] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,567] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,568] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,569] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,570] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,571] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,572] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,573] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,574] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,575] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,576] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,577] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,578] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,579] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,580] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,581] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,582] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,583] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,584] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,585] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,586] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,587] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,588] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,589] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,590] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,591] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,592] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,593] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,594] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,595] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,596] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,597] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,598] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,599] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,600] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,601] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,602] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,603] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,604] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,605] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,606] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,607] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,608] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,609] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,610] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,611] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,612] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,613] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,614] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,615] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,616] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,617] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,618] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,619] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,620] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,621] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,622] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,623] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,624] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,625] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,626] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,627] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,628] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,629] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,630] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,631] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,632] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,633] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,634] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,635] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,636] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,637] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,638] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,639] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,640] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,641] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,642] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,643] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,644] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,646] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,647] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,648] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,649] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,650] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,651] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,652] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,653] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,654] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,655] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,656] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,657] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,658] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,659] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,660] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:13:26,661] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:13:26,744] A new study created in memory with name: no-name-953ef23e-5a4e-4c32-a73e-fb5510c10bcf\n[I 2023-11-01 05:13:26,747] Trial 0 finished with values: [105.49307621727463, 5.239248577545907] and parameters: {'x': 4.28917106021181, 'y': 2.824230987465465}. \n[I 2023-11-01 05:13:26,749] Trial 1 finished with values: [2.4182793699144116, 42.754130434326626] and parameters: {'x': 0.007539601997515466, 'y': 0.7775043388176828}. \n[I 2023-11-01 05:13:26,750] Trial 2 finished with values: [50.91047259838507, 14.21209074088079] and parameters: {'x': 3.118176598218504, 'y': 1.7333761426530434}. \n[I 2023-11-01 05:13:26,752] Trial 3 finished with values: [34.08926215958469, 20.018219785533912] and parameters: {'x': 1.1803932039633076, 'y': 2.6700163714729186}. \n[I 2023-11-01 05:13:26,753] Trial 4 finished with values: [21.387371907109422, 25.187741269101654] and parameters: {'x': 2.1400096311738293, 'y': 0.8759005395937411}. \n[I 2023-11-01 05:13:26,754] Trial 5 finished with values: [28.47224810043761, 20.080397505268877] and parameters: {'x': 1.491939438930675, 'y': 2.2118270130533775}. \n[I 2023-11-01 05:13:26,755] Trial 6 finished with values: [34.79692525085332, 25.834495539271252] and parameters: {'x': 2.9275220033776446, 'y': 0.3589515739665632}. \n[I 2023-11-01 05:13:26,756] Trial 7 finished with values: [14.992181265583149, 26.51849239338911] and parameters: {'x': 1.5043106858534765, 'y': 1.2186446064471916}. \n[I 2023-11-01 05:13:26,757] Trial 8 finished with values: [74.74860648981647, 8.62281479399137] and parameters: {'x': 3.572659037453158, 'y': 2.4337746453931164}. \n[I 2023-11-01 05:13:26,758] Trial 9 finished with values: [33.060670128487004, 24.984932088454094] and parameters: {'x': 0.49625812175192574, 'y': 2.83176542261484}. \n[I 2023-11-01 05:13:26,760] Trial 10 finished with values: [50.87027752994131, 12.284325880673176] and parameters: {'x': 2.519525364390109, 'y': 2.5237989857911063}. \n[I 2023-11-01 05:13:26,761] Trial 11 finished with values: [47.81282416793959, 20.76204060715847] and parameters: {'x': 3.3766849726681345, 'y': 0.7424315708145082}. \n[I 2023-11-01 05:13:26,762] Trial 12 finished with values: [68.0923798127526, 10.936461007950562] and parameters: {'x': 3.608863367444217, 'y': 1.9998000270795417}. \n[I 2023-11-01 05:13:26,763] Trial 13 finished with values: [68.11332765071177, 18.283317865248762] and parameters: {'x': 4.041611936672762, 'y': 0.8328894680701556}. \n[I 2023-11-01 05:13:26,763] Trial 14 finished with values: [21.358706939468448, 23.783978285833946] and parameters: {'x': 1.153010740187987, 'y': 2.0025591047153295}. \n[I 2023-11-01 05:13:26,765] Trial 15 finished with values: [7.718425157345697, 32.38277858917249] and parameters: {'x': 0.8793262748543434, 'y': 1.07535649516205}. \n[I 2023-11-01 05:13:26,767] Trial 16 finished with values: [59.5555782074048, 11.855204653068668] and parameters: {'x': 3.294348182434405, 'y': 2.009020807443848}. \n[I 2023-11-01 05:13:26,768] Trial 17 finished with values: [18.006300686945604, 32.5693195754777] and parameters: {'x': 2.120442842381498, 'y': 0.07278271724437269}. \n[I 2023-11-01 05:13:26,769] Trial 18 finished with values: [76.5109041421351, 9.073144911020501] and parameters: {'x': 3.742648803674684, 'y': 2.262809308776643}. \n[I 2023-11-01 05:13:26,769] Trial 19 finished with values: [48.083929856466646, 14.391241944711034] and parameters: {'x': 2.9637333460046413, 'y': 1.7992407059359217}. \n[I 2023-11-01 05:13:26,770] Trial 20 finished with values: [2.6225106872500827, 39.399098372989904] and parameters: {'x': 0.4577540790915152, 'y': 0.6678988507907463}. \n[I 2023-11-01 05:13:26,771] Trial 21 finished with values: [5.6078229471826235, 35.64656489864106] and parameters: {'x': 0.5042258640725272, 'y': 1.0713132197429327}. \n[I 2023-11-01 05:13:26,772] Trial 22 finished with values: [61.500965171902635, 10.05199776075841] and parameters: {'x': 2.9558130642314717, 'y': 2.576511288990253}. \n[I 2023-11-01 05:13:26,773] Trial 23 finished with values: [33.24618817618619, 22.54169448578477] and parameters: {'x': 2.766790967850251, 'y': 0.8101942879759266}. \n[I 2023-11-01 05:13:26,774] Trial 24 finished with values: [111.28023206521948, 8.941003488429816] and parameters: {'x': 4.875461939258788, 'y': 2.0124435135287175}. \n[I 2023-11-01 05:13:26,775] Trial 25 finished with values: [23.329784974138647, 31.268146609533915] and parameters: {'x': 2.414684989957687, 'y': 0.04174497344238792}. \n[I 2023-11-01 05:13:26,775] Trial 26 finished with values: [61.5382356412469, 9.994434997487087] and parameters: {'x': 2.620795444648935, 'y': 2.9182169466335286}. \n[I 2023-11-01 05:13:26,776] Trial 27 finished with values: [19.38790553248352, 29.815484083131754] and parameters: {'x': 0.325805110938428, 'y': 2.1773441190604848}. \n[I 2023-11-01 05:13:26,777] Trial 28 finished with values: [59.22176916725303, 23.62911464177838] and parameters: {'x': 3.8375789436798966, 'y': 0.28005382132359136}. \n[I 2023-11-01 05:13:26,778] Trial 29 finished with values: [36.076491502113846, 28.502159224275438] and parameters: {'x': 3.002787166249684, 'y': 0.048909198875618176}. \n[I 2023-11-01 05:13:26,779] Trial 30 finished with values: [29.197595158114932, 22.262953738951666] and parameters: {'x': 0.9897079629966982, 'y': 2.5139365420610083}. \n[I 2023-11-01 05:13:26,780] Trial 31 finished with values: [1.5437246316074695, 42.17390188639581] and parameters: {'x': 0.25448606695871956, 'y': 0.5667168601918858}. \n[I 2023-11-01 05:13:26,781] Trial 32 finished with values: [83.97701474291661, 19.785756860352084] and parameters: {'x': 4.545708567862597, 'y': 0.5751411146751101}. \n[I 2023-11-01 05:13:26,782] Trial 33 finished with values: [35.320753634030424, 17.247310749972684] and parameters: {'x': 2.382878830442002, 'y': 1.7754089354114904}. \n[I 2023-11-01 05:13:26,783] Trial 34 finished with values: [50.74907039061639, 26.349085413871475] and parameters: {'x': 3.5611783222903104, 'y': 0.07263989608795196}. \n[I 2023-11-01 05:13:26,783] Trial 35 finished with values: [28.138034773705062, 25.213898923991906] and parameters: {'x': 0.5981174351450025, 'y': 2.583943541798433}. \n[I 2023-11-01 05:13:26,784] Trial 36 finished with values: [16.316954218661238, 29.11028808048897] and parameters: {'x': 0.5549072884823536, 'y': 1.94198775893528}. \n[I 2023-11-01 05:13:26,785] Trial 37 finished with values: [15.258936071960601, 32.940969383357384] and parameters: {'x': 0.13920944041591, 'y': 1.9481670230473669}. \n[I 2023-11-01 05:13:26,786] Trial 38 finished with values: [26.691479919500754, 30.558375022202316] and parameters: {'x': 2.5830335878678463, 'y': 0.02841590789944093}. \n[I 2023-11-01 05:13:26,787] Trial 39 finished with values: [79.68956855401672, 8.848417959112547] and parameters: {'x': 3.8512701879541305, 'y': 2.256127229985033}. \n[I 2023-11-01 05:13:26,788] Trial 40 finished with values: [13.147244131965323, 27.877701150566686] and parameters: {'x': 1.4417691069861782, 'y': 1.0991418812562865}. \n[I 2023-11-01 05:13:26,789] Trial 41 finished with values: [123.86194662675962, 4.751322086340966] and parameters: {'x': 4.7911398301370465, 'y': 2.830276626897847}. \n[I 2023-11-01 05:13:26,790] Trial 42 finished with values: [101.01294202105038, 7.623779436580306] and parameters: {'x': 4.473379132872097, 'y': 2.289566473996132}. \n[I 2023-11-01 05:13:26,791] Trial 43 finished with values: [29.852230535695313, 25.323236028426116] and parameters: {'x': 2.678955858091242, 'y': 0.5350263024585299}. \n[I 2023-11-01 05:13:26,792] Trial 44 finished with values: [76.39588406434554, 19.198461105361584] and parameters: {'x': 4.318300923075188, 'y': 0.6717500679972921}. \n[I 2023-11-01 05:13:26,793] Trial 45 finished with values: [46.10632088733226, 13.97109433760054] and parameters: {'x': 2.7086511847660066, 'y': 2.046897403657246}. \n[I 2023-11-01 05:13:26,794] Trial 46 finished with values: [8.033955355028807, 32.88663973010493] and parameters: {'x': 1.2563117686745113, 'y': 0.6558731421907158}. \n[I 2023-11-01 05:13:26,794] Trial 47 finished with values: [73.57874083624267, 10.52649793187809] and parameters: {'x': 3.8019933487843782, 'y': 1.9848253789338797}. \n[I 2023-11-01 05:13:26,795] Trial 48 finished with values: [7.761348562446933, 32.475034461755435] and parameters: {'x': 0.8218598851660935, 'y': 1.1246703827195366}. \n[I 2023-11-01 05:13:26,796] Trial 49 finished with values: [70.78366624076264, 21.832506663397783] and parameters: {'x': 4.187722516213624, 'y': 0.3986184734656636}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:26,879] A new study created in memory with name: no-name-be95f7a1-b9cc-42c3-9e18-7496cffdb556\n[I 2023-11-01 05:13:26,884] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,888] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,892] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,896] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,900] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,901] Trial 5 pruned. \n[I 2023-11-01 05:13:26,903] Trial 6 pruned. \n[I 2023-11-01 05:13:26,935] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:13:26,937] Trial 8 pruned. \n[I 2023-11-01 05:13:26,938] Trial 9 pruned. \n[I 2023-11-01 05:13:26,974] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:13:27,011] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:13:27,049] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,094] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,128] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:13:27,162] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:13:27,283] A new study created in memory with name: no-name-ea9eca02-47a4-4bf2-870e-cf6d36179848\n[I 2023-11-01 05:13:27,284] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,285] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,286] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,287] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,288] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,289] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,290] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,291] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,292] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:13:27,384] A new study created in memory with name: no-name-15d4dfa9-cf98-4243-bd4a-3f6d37d12ddd\n[I 2023-11-01 05:13:27,385] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:27,385] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,386] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,387] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,388] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,389] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,390] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,391] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:27,392] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:13:27,477] A new study created in memory with name: no-name-6b286ef9-4088-4cee-ab1e-ce15aff99034\n[I 2023-11-01 05:13:27,479] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,480] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:13:27,481] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:13:27,482] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,482] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,483] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,484] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,485] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,486] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,487] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,488] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,489] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,490] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,491] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,492] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,493] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,494] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,495] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,496] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,497] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,498] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,499] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,500] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,501] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,502] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,503] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,504] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,505] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,506] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,507] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,508] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,509] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,510] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,511] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,512] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,513] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,514] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,515] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,516] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,517] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,518] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,519] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,520] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,521] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,522] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,523] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,524] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,525] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,526] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,527] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,528] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,529] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,530] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,531] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,532] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,533] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,534] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,535] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,536] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,537] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,538] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,539] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,540] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,541] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,542] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,543] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,544] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,545] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,550] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,551] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,552] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,553] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,554] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:13:27,555] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,556] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,557] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,558] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,559] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:13:27,560] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,561] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,562] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,563] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,564] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,565] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,566] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,567] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,568] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,569] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,570] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,571] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:13:27,572] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:13:29,023] A new study created in memory with name: no-name-76454a70-1450-4b57-aaae-729a1258b578\n[I 2023-11-01 05:13:29,025] Trial 0 finished with values: [60.839498215625845, 20.557569521342742] and parameters: {'x': 3.8513698393129414, 'y': 0.6138606639434306}. \n[I 2023-11-01 05:13:29,026] Trial 1 finished with values: [75.6765269970235, 9.912597434921036] and parameters: {'x': 3.8193135655343906, 'y': 2.0813398658990936}. \n[I 2023-11-01 05:13:29,026] Trial 2 finished with values: [50.76866965645232, 13.992471664146379] and parameters: {'x': 3.0806881185321995, 'y': 1.7892814564644706}. \n[I 2023-11-01 05:13:29,027] Trial 3 finished with values: [9.780253792468034, 30.818204424176386] and parameters: {'x': 0.8506285260845131, 'y': 1.3120573763095489}. \n[I 2023-11-01 05:13:29,028] Trial 4 finished with values: [8.02347959518273, 32.27461067097745] and parameters: {'x': 1.1586921936829193, 'y': 0.8144337290989038}. \n[I 2023-11-01 05:13:29,029] Trial 5 finished with values: [114.02644882131683, 5.308542438404032] and parameters: {'x': 4.586409051554322, 'y': 2.7333979251381955}. \n[I 2023-11-01 05:13:29,030] Trial 6 finished with values: [93.36787160177158, 9.579235820427932] and parameters: {'x': 4.415641774846079, 'y': 1.9606314331554178}. \n[I 2023-11-01 05:13:29,030] Trial 7 finished with values: [10.261124154496988, 35.47023820271913] and parameters: {'x': 1.5977456110858994, 'y': 0.11175867250461213}. \n[I 2023-11-01 05:13:29,031] Trial 8 finished with values: [76.1379102840047, 19.977299433457603] and parameters: {'x': 4.323880544500293, 'y': 0.5818372692540644}. \n[I 2023-11-01 05:13:29,032] Trial 9 finished with values: [33.58532113452739, 17.546853061098325] and parameters: {'x': 2.2051565843341865, 'y': 1.8797911379191654}. \n[I 2023-11-01 05:13:29,033] Trial 10 finished with values: [94.80156389912213, 10.93309900369197] and parameters: {'x': 4.552883291937647, 'y': 1.723845905171209}. \n[I 2023-11-01 05:13:29,033] Trial 11 finished with values: [35.15952982860579, 19.310396331971816] and parameters: {'x': 1.268023410795922, 'y': 2.679925201722041}. \n[I 2023-11-01 05:13:29,034] Trial 12 finished with values: [70.57343168407641, 14.951458859235878] and parameters: {'x': 4.005940421476566, 'y': 1.2632494847017564}. \n[I 2023-11-01 05:13:29,035] Trial 13 finished with values: [81.8014663547554, 10.715835586743768] and parameters: {'x': 4.12893835588836, 'y': 1.844514744306148}. \n[I 2023-11-01 05:13:29,036] Trial 14 finished with values: [23.505215998841912, 23.219490613806272] and parameters: {'x': 2.154360897618915, 'y': 1.1113204409715056}. \n[I 2023-11-01 05:13:29,037] Trial 15 finished with values: [9.544514915287603, 36.47591608232692] and parameters: {'x': 1.5439938975145784, 'y': 0.04702736713492006}. \n[I 2023-11-01 05:13:29,038] Trial 16 finished with values: [1.9130412991906387, 42.69898960234727] and parameters: {'x': 0.0925895663378995, 'y': 0.6853375059071402}. \n[I 2023-11-01 05:13:29,038] Trial 17 finished with values: [46.513732901773956, 13.406214183062087] and parameters: {'x': 2.438689735508042, 'y': 2.383532168730098}. \n[I 2023-11-01 05:13:29,039] Trial 18 finished with values: [14.720744884053317, 26.83120093284827] and parameters: {'x': 1.537187763417579, 'y': 1.147710765398927}. \n[I 2023-11-01 05:13:29,040] Trial 19 finished with values: [59.17276857694263, 14.661212319363415] and parameters: {'x': 3.5618513635291875, 'y': 1.4513466189580366}. \n[I 2023-11-01 05:13:29,041] Trial 20 finished with values: [30.949947090360254, 24.469566753137116] and parameters: {'x': 0.6137021740672799, 'y': 2.713089827878015}. \n[I 2023-11-01 05:13:29,042] Trial 21 finished with values: [63.50675212199463, 9.56037384281969] and parameters: {'x': 2.9134164575158157, 'y': 2.718214961252081}. \n[I 2023-11-01 05:13:29,042] Trial 22 finished with values: [65.86014280579418, 24.12851708337987] and parameters: {'x': 4.053721857116065, 'y': 0.1799300046908031}. \n[I 2023-11-01 05:13:29,043] Trial 23 finished with values: [52.28382622683156, 12.439143503252666] and parameters: {'x': 2.8872970564018026, 'y': 2.17588424894372}. \n[I 2023-11-01 05:13:29,044] Trial 24 finished with values: [48.537430023268726, 12.939254200460937] and parameters: {'x': 2.330204866746702, 'y': 2.5893054637889223}. \n[I 2023-11-01 05:13:29,045] Trial 25 finished with values: [39.42631287041227, 20.51411149469814] and parameters: {'x': 2.996062055989305, 'y': 0.9381846163011874}. \n[I 2023-11-01 05:13:29,045] Trial 26 finished with values: [7.8565987688321695, 33.70559797490104] and parameters: {'x': 1.2984636659798903, 'y': 0.5273915057508098}. \n[I 2023-11-01 05:13:29,046] Trial 27 finished with values: [83.40628303218804, 8.651632930370544] and parameters: {'x': 3.978158578286937, 'y': 2.2418352044807093}. \n[I 2023-11-01 05:13:29,047] Trial 28 finished with values: [61.33234945005918, 10.020219299879386] and parameters: {'x': 2.8989109834771707, 'y': 2.6323758227863703}. \n[I 2023-11-01 05:13:29,048] Trial 29 finished with values: [33.26737067359938, 24.56063665320886] and parameters: {'x': 2.8322392949963615, 'y': 0.5433813065227373}. \n[I 2023-11-01 05:13:29,049] Trial 30 finished with values: [101.25555597411088, 6.469761218055207] and parameters: {'x': 4.341183403969173, 'y': 2.5432293735780784}. \n[I 2023-11-01 05:13:29,049] Trial 31 finished with values: [53.51770062653417, 26.27639296709217] and parameters: {'x': 3.6574071641006114, 'y': 0.052896054853526}. \n[I 2023-11-01 05:13:29,050] Trial 32 finished with values: [19.639681134873328, 23.639278501984897] and parameters: {'x': 1.4619075435504976, 'y': 1.665156634622846}. \n[I 2023-11-01 05:13:29,051] Trial 33 finished with values: [90.20100636581793, 19.785191898248687] and parameters: {'x': 4.715449890266091, 'y': 0.5610560790544893}. \n[I 2023-11-01 05:13:29,052] Trial 34 finished with values: [79.26939060646329, 13.978908590193821] and parameters: {'x': 4.24582897684104, 'y': 1.3380149293011598}. \n[I 2023-11-01 05:13:29,053] Trial 35 finished with values: [77.47513393975598, 16.636586400352627] and parameters: {'x': 4.2896918906238675, 'y': 0.983527817834769}. \n[I 2023-11-01 05:13:29,054] Trial 36 finished with values: [1.8520737788278827, 41.32301869838012] and parameters: {'x': 0.6075331529189698, 'y': 0.30646682171371553}. \n[I 2023-11-01 05:13:29,055] Trial 37 finished with values: [26.809556534692273, 22.08998736661516] and parameters: {'x': 1.1338381544558052, 'y': 2.3274020222499856}. \n[I 2023-11-01 05:13:29,055] Trial 38 finished with values: [49.83772062765459, 16.2460970048215] and parameters: {'x': 3.254348105918166, 'y': 1.3669852092910486}. \n[I 2023-11-01 05:13:29,056] Trial 39 finished with values: [29.854924662352147, 18.8335654643139] and parameters: {'x': 1.965291824314002, 'y': 1.8977247458134119}. \n[I 2023-11-01 05:13:29,057] Trial 40 finished with values: [22.288805064221584, 26.35005335239491] and parameters: {'x': 0.6540969798220719, 'y': 2.268117811543977}. \n[I 2023-11-01 05:13:29,058] Trial 41 finished with values: [50.7696055582819, 15.46529479019017] and parameters: {'x': 3.2389666906590193, 'y': 1.4837439692790113}. \n[I 2023-11-01 05:13:29,059] Trial 42 finished with values: [19.735254173141115, 24.352324597794556] and parameters: {'x': 1.8880147018221571, 'y': 1.1701341927269155}. \n[I 2023-11-01 05:13:29,060] Trial 43 finished with values: [27.870009756919487, 24.198813713961847] and parameters: {'x': 0.7444076929938459, 'y': 2.532461179532956}. \n[I 2023-11-01 05:13:29,061] Trial 44 finished with values: [14.663592765224179, 33.54876119293308] and parameters: {'x': 1.9120583137912002, 'y': 0.09965538604609714}. \n[I 2023-11-01 05:13:29,062] Trial 45 finished with values: [81.64426791436277, 9.490056718975797] and parameters: {'x': 4.0089159042297435, 'y': 2.083185121731746}. \n[I 2023-11-01 05:13:29,063] Trial 46 finished with values: [70.29866744751703, 16.196367710409117] and parameters: {'x': 4.048107092387215, 'y': 1.089722822759799}. \n[I 2023-11-01 05:13:29,064] Trial 47 finished with values: [15.53418016525378, 27.072940551335684] and parameters: {'x': 0.9600683501123958, 'y': 1.7209920988853804}. \n[I 2023-11-01 05:13:29,064] Trial 48 finished with values: [103.00759922506299, 12.864110187208286] and parameters: {'x': 4.873193893026661, 'y': 1.4155850688790852}. \n[I 2023-11-01 05:13:29,065] Trial 49 finished with values: [61.11028588533834, 17.43631862064129] and parameters: {'x': 3.7765560696976, 'y': 1.0075692153717297}. \n[I 2023-11-01 05:13:29,115] A new study created in memory with name: no-name-e5a567c4-b959-4b6c-9976-05b398246dcf\n[I 2023-11-01 05:13:29,117] Trial 0 finished with values: [87.5428147336911, 125.91744301693782, 4.582929785775083] and parameters: {'x': 4.172211556019937, 'y': 0.4107182297551468}. \n[I 2023-11-01 05:13:29,118] Trial 1 finished with values: [79.42932435371318, 117.42671185736037, 4.944649185984213] and parameters: {'x': 3.9032190319388524, 'y': 1.04143015404536}. \n[I 2023-11-01 05:13:29,119] Trial 2 finished with values: [26.427783393297947, 135.19416404801038, 3.650951467021897] and parameters: {'x': 0.9455694654421115, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,119] Trial 3 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,120] Trial 4 finished with values: [80.30985015440285, 99.44019984708149, 5.945482670244573] and parameters: {'x': 3.5538915570458802, 'y': 2.391591113198693}. \n[I 2023-11-01 05:13:29,121] Trial 5 finished with values: [35.36530847309604, 127.26889560375241, 4.05347846357872] and parameters: {'x': 2.2748531652741395, 'y': 1.7786252983045814}. \n[I 2023-11-01 05:13:29,122] Trial 6 finished with values: [101.97010511937889, 96.46281100294159, 6.281006205085368] and parameters: {'x': 4.2261862124989245, 'y': 2.0548199925864434}. \n[I 2023-11-01 05:13:29,122] Trial 7 finished with values: [56.43019606079589, 139.4005593465934, 3.595437203122604] and parameters: {'x': 3.35427233790426, 'y': 0.24116486521834402}. \n[I 2023-11-01 05:13:29,123] Trial 8 finished with values: [44.37053080519889, 137.30821741721277, 3.58676477645972] and parameters: {'x': 2.9359829670808195, 'y': 0.6507818093789008}. \n[I 2023-11-01 05:13:29,124] Trial 9 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,125] Trial 10 finished with values: [43.15287268266744, 127.51150424878333, 4.0921578225727] and parameters: {'x': 2.7467153640262305, 'y': 1.345442458546469}. \n[I 2023-11-01 05:13:29,126] Trial 11 finished with values: [10.64399821791255, 169.0528887654234, 1.654629387062084] and parameters: {'x': 1.4504428113368224, 'y': 0.20418657572526167}. \n[I 2023-11-01 05:13:29,126] Trial 12 finished with values: [1.6248430865429002, 182.38352568164356, 0.9060430572923813] and parameters: {'x': 0.2363076427766858, 'y': 0.6697354145156955}. \n[I 2023-11-01 05:13:29,127] Trial 13 finished with values: [53.053120523233424, 111.35015669295971, 5.079124848182756] and parameters: {'x': 2.669752755723731, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,128] Trial 14 finished with values: [23.938530588613002, 150.48185587463706, 2.7220363922200237] and parameters: {'x': 2.141352310048534, 'y': 0.58068408217149}. \n[I 2023-11-01 05:13:29,129] Trial 15 finished with values: [88.41788124507585, 132.45363175849647, 4.26156130807225] and parameters: {'x': 4.20495585501509, 'y': 0.05660545305716025}. \n[I 2023-11-01 05:13:29,129] Trial 16 finished with values: [24.483983958924917, 137.02893188075163, 3.5270396980973624] and parameters: {'x': 0.9420208147456793, 'y': 2.585018883351683}. \n[I 2023-11-01 05:13:29,130] Trial 17 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,131] Trial 18 finished with values: [1.18352122207314, 184.5874888536519, 0.7883053538792981] and parameters: {'x': 0.247723059442867, 'y': 0.5405822944364311}. \n[I 2023-11-01 05:13:29,132] Trial 19 finished with values: [63.13563063033653, 119.78030395328501, 4.67390573923662] and parameters: {'x': 3.417628886836913, 'y': 1.256276852399707}. \n[I 2023-11-01 05:13:29,133] Trial 20 finished with values: [32.639187966844645, 125.77328105460262, 4.153237933787361] and parameters: {'x': 1.7500098250860097, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,133] Trial 21 finished with values: [100.08775322791074, 124.89148437723681, 4.7579795794299535] and parameters: {'x': 4.468474310679378, 'y': 0.28950526875057525}. \n[I 2023-11-01 05:13:29,134] Trial 22 finished with values: [127.87517528767862, 97.70903425469903, 6.43961277685366] and parameters: {'x': 4.917891108613629, 'y': 1.5217216682400305}. \n[I 2023-11-01 05:13:29,135] Trial 23 finished with values: [82.31970190648751, 106.59842810740065, 5.552426308633928] and parameters: {'x': 3.8326778540760467, 'y': 1.7197484545578807}. \n[I 2023-11-01 05:13:29,136] Trial 24 finished with values: [27.86129029274595, 130.7165641882484, 3.8483492196118547] and parameters: {'x': 1.5509101442845425, 'y': 2.297439075327312}. \n[I 2023-11-01 05:13:29,137] Trial 25 finished with values: [77.42702124270832, 120.23885783258746, 4.778773857898154] and parameters: {'x': 3.8719514634778647, 'y': 0.9068223944202886}. \n[I 2023-11-01 05:13:29,137] Trial 26 finished with values: [12.180306287754334, 164.10767867553426, 1.9194272284264817] and parameters: {'x': 1.5316064369743765, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,138] Trial 27 finished with values: [40.15465156181551, 121.73999994505009, 4.398884300261868] and parameters: {'x': 2.345377763917062, 'y': 2.0535065363448055}. \n[I 2023-11-01 05:13:29,139] Trial 28 finished with values: [0.6003399579466738, 189.37281708748725, 0.5408659886777061] and parameters: {'x': 0.12233023915307728, 'y': 0.4185357495246288}. \n[I 2023-11-01 05:13:29,140] Trial 29 finished with values: [94.94958784217911, 91.94533751264734, 6.492385522886837] and parameters: {'x': 3.8451556490620034, 'y': 2.647229873824833}. \n[I 2023-11-01 05:13:29,141] Trial 30 finished with values: [12.23729193682176, 154.02280808692797, 2.48857408661591] and parameters: {'x': 0.6536139835879334, 'y': 1.8349601030279763}. \n[I 2023-11-01 05:13:29,141] Trial 31 finished with values: [25.686984560020917, 157.384874124444, 2.38793050813644] and parameters: {'x': 2.2645674750934774, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,142] Trial 32 finished with values: [44.298025616403066, 121.35009638941978, 4.441757942008512] and parameters: {'x': 2.6212840295962807, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,143] Trial 33 finished with values: [41.93213497048119, 131.35320164213806, 3.8763624624489013] and parameters: {'x': 2.7650300447854965, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,144] Trial 34 finished with values: [63.06168925172126, 104.278640050114, 5.559968055817444] and parameters: {'x': 2.8833735235252327, 'y': 2.676594532292211}. \n[I 2023-11-01 05:13:29,145] Trial 35 finished with values: [128.9946721929507, 80.0088211822448, 7.458207120154161] and parameters: {'x': 4.5538874292721925, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,145] Trial 36 finished with values: [128.2831496897921, 99.69541391047744, 6.336503995382272] and parameters: {'x': 4.950084253597278, 'y': 1.3864197417849946}. \n[I 2023-11-01 05:13:29,146] Trial 37 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,147] Trial 38 finished with values: [137.0611150401623, 85.75483383537352, 7.183702096265728] and parameters: {'x': 4.938344244688601, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,148] Trial 39 finished with values: [81.34319236587976, 99.58533771908364, 5.943757739575421] and parameters: {'x': 3.6028956988860745, 'y': 2.340862040689347}. \n[I 2023-11-01 05:13:29,149] Trial 40 finished with values: [44.63329541290137, 115.48607906116575, 4.80737892301361] and parameters: {'x': 2.2059377652811785, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,150] Trial 41 finished with values: [133.15269548232047, 89.62413124342999, 6.931255310245234] and parameters: {'x': 4.919602785658435, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,151] Trial 42 finished with values: [55.42132113606256, 115.47768476042144, 4.847940608667578] and parameters: {'x': 3.009304764787342, 'y': 1.8386358438802355}. \n[I 2023-11-01 05:13:29,151] Trial 43 finished with values: [44.75773276822533, 120.30719077568205, 4.504341209494624] and parameters: {'x': 2.6053491005527296, 'y': 1.898992108941894}. \n[I 2023-11-01 05:13:29,152] Trial 44 finished with values: [93.63052719639168, 100.99824063074466, 5.957325379562757] and parameters: {'x': 4.074081646849525, 'y': 1.883243732713233}. \n[I 2023-11-01 05:13:29,153] Trial 45 finished with values: [73.18499796286048, 105.19430823647332, 5.559959917509302] and parameters: {'x': 3.464424786518128, 'y': 2.0955351309911743}. \n[I 2023-11-01 05:13:29,154] Trial 46 finished with values: [55.557079367706265, 120.11935940210236, 4.591932315519072] and parameters: {'x': 3.1371214696162815, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,155] Trial 47 finished with values: [8.929949288474926, 164.45771453897527, 1.9242857426057944] and parameters: {'x': 0.2232275914861953, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,156] Trial 48 finished with values: [43.56420282939316, 126.76253990103478, 4.135964780402829] and parameters: {'x': 2.7494268768344283, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,156] Trial 49 finished with values: [103.81794470433736, 101.47869673077281, 6.01822034408196] and parameters: {'x': 4.375421914918683, 'y': 1.6427984291632762}. \n[I 2023-11-01 05:13:29,171] Trial 50 finished with values: [42.18626544726513, 117.50357667661295, 4.675079266432098] and parameters: {'x': 2.141352310048534, 'y': 2.5337269563835645}. \n[I 2023-11-01 05:13:29,172] Trial 51 finished with values: [50.14484885495544, 131.43174018674225, 3.944170035484599] and parameters: {'x': 3.0983403755601753, 'y': 0.8458296599244239}. \n[I 2023-11-01 05:13:29,173] Trial 52 finished with values: [89.92821070621129, 119.85335128217925, 4.916747489573703] and parameters: {'x': 4.20495585501509, 'y': 0.7117916345586136}. \n[I 2023-11-01 05:13:29,174] Trial 53 finished with values: [103.62746642296395, 89.75810377485547, 6.683719397429751] and parameters: {'x': 4.0822782396973185, 'y': 2.6014411577324323}. \n[I 2023-11-01 05:13:29,175] Trial 54 finished with values: [17.794678326026226, 148.2531086826832, 2.7899925439770943] and parameters: {'x': 1.6786601263136895, 'y': 1.1113324176634047}. \n[I 2023-11-01 05:13:29,176] Trial 55 finished with values: [89.65007553061257, 126.65227926091885, 4.566198965707066] and parameters: {'x': 4.2261862124989245, 'y': 0.34001275320814206}. \n[I 2023-11-01 05:13:29,177] Trial 56 finished with values: [107.61535110817005, 100.98512125843465, 6.0787577000410495] and parameters: {'x': 4.468474310679378, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,178] Trial 57 finished with values: [86.98693620585829, 96.92810664420041, 6.139565507446971] and parameters: {'x': 3.730193414987945, 'y': 2.409372092459025}. \n[I 2023-11-01 05:13:29,179] Trial 58 finished with values: [70.28636500173856, 117.67113037703712, 4.84912857800639] and parameters: {'x': 3.628033847019885, 'y': 1.221094730986505}. \n[I 2023-11-01 05:13:29,180] Trial 59 finished with values: [87.06713227484677, 131.96042343818704, 4.272852723731886] and parameters: {'x': 4.172211556019937, 'y': 0.10064116771194931}. \n[I 2023-11-01 05:13:29,181] Trial 60 finished with values: [43.38208136209966, 115.99370716942082, 4.786790846446781] and parameters: {'x': 2.0240441036487256, 'y': 2.7627467427980554}. \n[I 2023-11-01 05:13:29,182] Trial 61 finished with values: [23.425175110441703, 149.21974875458247, 2.928775986506387] and parameters: {'x': 0.14030263060810177, 'y': 2.7884733558982853}. \n[I 2023-11-01 05:13:29,183] Trial 62 finished with values: [17.684087093206173, 145.52069266243194, 2.9405062091724616] and parameters: {'x': 1.5316064369743765, 'y': 1.4088997721980854}. \n[I 2023-11-01 05:13:29,184] Trial 63 finished with values: [83.18776056867196, 103.2602474020756, 5.74567878890701] and parameters: {'x': 3.7859140922652035, 'y': 1.9597646966418065}. \n[I 2023-11-01 05:13:29,185] Trial 64 finished with values: [84.35261506472467, 122.09502497170601, 4.747854293653573] and parameters: {'x': 4.074081646849525, 'y': 0.6737726468040485}. \n[I 2023-11-01 05:13:29,187] Trial 65 finished with values: [6.218573723528583, 168.27454519159122, 1.6869082248163614] and parameters: {'x': 0.3003703212479608, 'y': 1.3865379035684007}. \n[I 2023-11-01 05:13:29,188] Trial 66 finished with values: [47.403258969878436, 112.72087495576311, 5.00687013061392] and parameters: {'x': 2.101002887403289, 'y': 2.905867243210631}. \n[I 2023-11-01 05:13:29,189] Trial 67 finished with values: [58.110470405155944, 119.02276825322959, 4.672295783337208] and parameters: {'x': 3.2174849374344165, 'y': 1.454810845902791}. \n[I 2023-11-01 05:13:29,190] Trial 68 finished with values: [58.85215093955819, 135.72159860864429, 3.805449678289018] and parameters: {'x': 3.417628886836913, 'y': 0.38782079145210524}. \n[I 2023-11-01 05:13:29,190] Trial 69 finished with values: [75.43134739525163, 106.96720621884594, 5.476133565076838] and parameters: {'x': 3.6028956988860745, 'y': 1.8732378661907627}. \n[I 2023-11-01 05:13:29,191] Trial 70 finished with values: [19.4059003256577, 146.3389513032142, 2.996167207924808] and parameters: {'x': 0.5563335063281183, 'y': 2.4398337015966893}. \n[I 2023-11-01 05:13:29,193] Trial 71 finished with values: [1.2524358747271898, 187.86453550007184, 0.619631760328682] and parameters: {'x': 0.49036912361547336, 'y': 0.1292626367132086}. \n[I 2023-11-01 05:13:29,194] Trial 72 finished with values: [107.86182230678271, 95.44957402311746, 6.387074439505483] and parameters: {'x': 4.375421914918683, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,195] Trial 73 finished with values: [124.72530865567732, 109.07729427286469, 5.80811262669433] and parameters: {'x': 4.950084253597278, 'y': 0.8580283730970523}. \n[I 2023-11-01 05:13:29,196] Trial 74 finished with values: [39.369606041893135, 130.38367683988005, 3.907454683427749] and parameters: {'x': 2.6240516874280577, 'y': 1.2834029959996913}. \n[I 2023-11-01 05:13:29,197] Trial 75 finished with values: [78.27562164112712, 101.68678890842091, 5.799249408623007] and parameters: {'x': 3.5538915570458802, 'y': 2.245357851577127}. \n[I 2023-11-01 05:13:29,198] Trial 76 finished with values: [89.79033821575278, 105.79019727417875, 5.660253770329672] and parameters: {'x': 4.049970380968, 'y': 1.6102833893616717}. \n[I 2023-11-01 05:13:29,199] Trial 77 finished with values: [23.160822876780777, 136.21657744716748, 3.507981688540689] and parameters: {'x': 1.4198924647375617, 'y': 2.0880892238031272}. \n[I 2023-11-01 05:13:29,200] Trial 78 finished with values: [49.31345826947032, 111.32500127382198, 5.095585976340498] and parameters: {'x': 2.1912662854585294, 'y': 2.9043196908819686}. \n[I 2023-11-01 05:13:29,201] Trial 79 finished with values: [10.140685124815025, 156.40138557655033, 2.3183351698520447] and parameters: {'x': 0.9582322797843323, 'y': 1.3601028900677123}. \n[I 2023-11-01 05:13:29,202] Trial 80 finished with values: [34.142985973798886, 125.821496827699, 4.2228315799056375] and parameters: {'x': 1.2861960768801162, 'y': 2.9366355030255216}. \n[I 2023-11-01 05:13:29,204] Trial 81 finished with values: [19.412256415764894, 153.23696737873303, 2.661190415079054] and parameters: {'x': 0.12233023915307728, 'y': 2.538860175925977}. \n[I 2023-11-01 05:13:29,205] Trial 82 finished with values: [15.420332884824766, 156.14819070680076, 2.4483260095551858] and parameters: {'x': 0.19519245773257254, 'y': 2.2531335518226134}. \n[I 2023-11-01 05:13:29,206] Trial 83 finished with values: [51.32236413841272, 113.9031185280957, 4.9152511304950295] and parameters: {'x': 2.710898441884519, 'y': 2.2043526886105105}. \n[I 2023-11-01 05:13:29,207] Trial 84 finished with values: [17.809211637905275, 152.82704106001887, 2.653606764229656] and parameters: {'x': 0.2363076427766858, 'y': 2.41729912145297}. \n[I 2023-11-01 05:13:29,208] Trial 85 finished with values: [7.666346778460305, 163.3322651849608, 1.9264910635647712] and parameters: {'x': 1.0198253305570582, 'y': 0.906665733007713}. \n[I 2023-11-01 05:13:29,209] Trial 86 finished with values: [98.12795587012981, 119.64399389088248, 5.0062972692063035] and parameters: {'x': 4.405572496572049, 'y': 0.600724772634255}. \n[I 2023-11-01 05:13:29,210] Trial 87 finished with values: [90.3714136122246, 113.98860497682092, 5.226515002423154] and parameters: {'x': 4.172211556019937, 'y': 1.0543034464032173}. \n[I 2023-11-01 05:13:29,211] Trial 88 finished with values: [85.15898597399226, 96.83780961405844, 6.1327270304785655] and parameters: {'x': 3.6525289391805655, 'y': 2.480198091298}. \n[I 2023-11-01 05:13:29,213] Trial 89 finished with values: [84.4871231417214, 103.34917448938214, 5.751012676788751] and parameters: {'x': 3.8326778540760467, 'y': 1.9183348227127044}. \n[I 2023-11-01 05:13:29,214] Trial 90 finished with values: [130.87064057822545, 92.73247780143728, 6.73836502102586] and parameters: {'x': 4.917891108613629, 'y': 1.8204739124122313}. \n[I 2023-11-01 05:13:29,215] Trial 91 finished with values: [45.32523115062368, 146.41777764868726, 3.1326677978303046] and parameters: {'x': 3.009304764787342, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,216] Trial 92 finished with values: [23.31488196551195, 143.06143137307663, 3.2264590864907245] and parameters: {'x': 0.5210770849109386, 'y': 2.705382001579786}. \n[I 2023-11-01 05:13:29,217] Trial 93 finished with values: [63.6964900327288, 105.7164580956129, 5.470795216942519] and parameters: {'x': 3.0248473291505977, 'y': 2.445947887791921}. \n[I 2023-11-01 05:13:29,218] Trial 94 finished with values: [63.75532772346428, 103.37412751575198, 5.62156971876052] and parameters: {'x': 2.8582129076205254, 'y': 2.763356811139994}. \n[I 2023-11-01 05:13:29,219] Trial 95 finished with values: [41.61486969459626, 148.19433018272395, 3.006736556568195] and parameters: {'x': 2.8833735235252327, 'y': 0.12336303304296259}. \n[I 2023-11-01 05:13:29,220] Trial 96 finished with values: [68.40703798651494, 104.00176495053626, 5.5994922391873825] and parameters: {'x': 3.196264130486031, 'y': 2.403228108701351}. \n[I 2023-11-01 05:13:29,222] Trial 97 finished with values: [39.49389191710593, 122.50523918086594, 4.350611877721291] and parameters: {'x': 2.3389593531344914, 'y': 2.0116525245867996}. \n[I 2023-11-01 05:13:29,223] Trial 98 finished with values: [95.98339571741141, 102.7613819146363, 5.8796368381121065] and parameters: {'x': 4.178578686992507, 'y': 1.7010581511195992}. \n[I 2023-11-01 05:13:29,224] Trial 99 finished with values: [34.49573261165041, 130.39133164277706, 3.872002399539434] and parameters: {'x': 2.345377763917062, 'y': 1.526624635622372}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:13:29,396] A new study created in memory with name: no-name-9f0d2cd8-9c80-489b-a8b7-8b51bf3f85a7\n[I 2023-11-01 05:13:29,397] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,398] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,399] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,400] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,401] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,402] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,403] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,404] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,405] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,412] Trial 10 finished with value: 6552.967716339579 and parameters: {'x': 80.95040281764865, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,419] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,426] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,433] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,440] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,447] Trial 15 finished with value: 565.7705064178704 and parameters: {'x': -23.80694239959996, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,454] Trial 16 finished with value: 213.03950442172223 and parameters: {'x': -14.63008900935747, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,461] Trial 17 finished with value: 641.5871135168867 and parameters: {'x': -25.34930203214453, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,467] Trial 18 finished with value: 1368.8316914198415 and parameters: {'x': -37.01123736677607, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,474] Trial 19 finished with value: 1159.0046483066578 and parameters: {'x': -34.05884097127584, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,481] Trial 20 finished with value: 1280.35318886121 and parameters: {'x': -35.795994033707316, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,488] Trial 21 finished with value: 267.4820201738229 and parameters: {'x': -16.385420964193226, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,494] Trial 22 finished with value: 273.55651795948256 and parameters: {'x': 16.569747069870516, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,501] Trial 23 finished with value: 0.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,508] Trial 24 finished with value: 708.8376961830706 and parameters: {'x': 26.642779438021677, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,515] Trial 25 finished with value: 746.543499314302 and parameters: {'x': -27.34124172956126, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,521] Trial 26 finished with value: 2096.0943980014476 and parameters: {'x': -45.79404325893759, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,528] Trial 27 finished with value: 2693.8946162727752 and parameters: {'x': -51.9123744041127, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,535] Trial 28 finished with value: 533.2215173103497 and parameters: {'x': -23.113232515387146, 'y': -1}. Best is trial 23 with value: 0.5264659525593145.\n[I 2023-11-01 05:13:29,542] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 23 with value: 0.5264659525593145.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:13:29,647] A new study created in memory with name: no-name-8941f045-cef7-4b49-9146-b6c8ff681cc7\n[I 2023-11-01 05:13:29,648] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:13:29,649] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,650] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,651] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,652] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,653] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,654] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:13:29,655] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:13:29,778] A new study created in memory with name: no-name-0fe16e9b-167d-497a-8fef-a0133855e4d8\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000053 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.018261 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.015371 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,052] Trial 0 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 9.267010624366744e-06, 'reg_lambda': 0.262556546435132, 'num_leaves': 42, 'colsample_bytree': 0.4966620386392309, 'subsample': 0.45826381081528145, 'subsample_freq': 1, 'min_child_samples': 67}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 495\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,333] Trial 1 finished with value: 0.9717460317460318 and parameters: {'reg_alpha': 6.005896797504266e-08, 'reg_lambda': 0.09799758242464424, 'num_leaves': 222, 'colsample_bytree': 0.8274187187632236, 'subsample': 0.9361429897275525, 'subsample_freq': 4, 'min_child_samples': 30}. Best is trial 0 with value: 0.3987301587301587.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000154 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,598] Trial 2 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0005721672674107266, 'reg_lambda': 0.00013808212004328004, 'num_leaves': 244, 'colsample_bytree': 0.4438736573011642, 'subsample': 0.6215997774679363, 'subsample_freq': 5, 'min_child_samples': 55}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 494\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.497109\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:30,809] Trial 3 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 3.8198324344871615e-08, 'reg_lambda': 0.0022933142642223236, 'num_leaves': 55, 'colsample_bytree': 0.7817434870453228, 'subsample': 0.762465170099133, 'subsample_freq': 7, 'min_child_samples': 52}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:30,886] Trial 4 finished with value: 0.3992063492063492 and parameters: {'reg_alpha': 1.8075705134963678, 'reg_lambda': 0.0009208677434815778, 'num_leaves': 160, 'colsample_bytree': 0.4175696511341047, 'subsample': 0.6217747112379834, 'subsample_freq': 1, 'min_child_samples': 98}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,202] Trial 5 finished with value: 0.9660317460317461 and parameters: {'reg_alpha': 6.524759159120152e-07, 'reg_lambda': 2.9595881958092326e-05, 'num_leaves': 250, 'colsample_bytree': 0.838775459278063, 'subsample': 0.9161192183482593, 'subsample_freq': 2, 'min_child_samples': 47}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,478] Trial 6 finished with value: 0.9722222222222221 and parameters: {'reg_alpha': 0.0011411145222977568, 'reg_lambda': 0.002446006071849783, 'num_leaves': 107, 'colsample_bytree': 0.6818810436132666, 'subsample': 0.7809237569619797, 'subsample_freq': 6, 'min_child_samples': 32}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:31,600] Trial 7 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 0.4214318049653588, 'reg_lambda': 7.607942002508106e-08, 'num_leaves': 133, 'colsample_bytree': 0.6357444669692616, 'subsample': 0.7670938804083612, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 2 with value: 0.39809523809523806.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 519\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:31,821] Trial 8 finished with value: 0.3979365079365079 and parameters: {'reg_alpha': 1.4109983840295237e-07, 'reg_lambda': 0.4499193335760083, 'num_leaves': 234, 'colsample_bytree': 0.5997474219361005, 'subsample': 0.5074475050532324, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.031999 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.028900 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 491\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,335] Trial 9 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 5.001168561925855, 'reg_lambda': 0.0006580895176680692, 'num_leaves': 12, 'colsample_bytree': 0.711654018130479, 'subsample': 0.596238953624258, 'subsample_freq': 6, 'min_child_samples': 63}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 515\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:32,664] Trial 10 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.0932393648755059e-08, 'reg_lambda': 7.0529237576007375, 'num_leaves': 194, 'colsample_bytree': 0.9910477516842628, 'subsample': 0.40691808026703535, 'subsample_freq': 3, 'min_child_samples': 9}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:32,845] Trial 11 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.0001321123355594802, 'reg_lambda': 6.386031556476597e-06, 'num_leaves': 245, 'colsample_bytree': 0.5290291743503867, 'subsample': 0.5495991346902422, 'subsample_freq': 4, 'min_child_samples': 85}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000075 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 517\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,126] Trial 12 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.0013419344157706127, 'reg_lambda': 0.05968509797240625, 'num_leaves': 191, 'colsample_bytree': 0.40245887236558925, 'subsample': 0.5068332653123055, 'subsample_freq': 5, 'min_child_samples': 40}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,454] Trial 13 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 7.506834152750213e-06, 'reg_lambda': 1.9829571997624094e-05, 'num_leaves': 196, 'colsample_bytree': 0.5946439483406606, 'subsample': 0.6467771518194396, 'subsample_freq': 3, 'min_child_samples': 64}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:33,590] Trial 14 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.027607540257044507, 'reg_lambda': 6.91071397608662, 'num_leaves': 254, 'colsample_bytree': 0.5171617346820438, 'subsample': 0.5264068843099444, 'subsample_freq': 5, 'min_child_samples': 82}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 493\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:33,950] Trial 15 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 0.00013194016527661695, 'reg_lambda': 0.014553615453968811, 'num_leaves': 154, 'colsample_bytree': 0.5548739854807078, 'subsample': 0.6926985005659125, 'subsample_freq': 3, 'min_child_samples': 17}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,100] Trial 16 finished with value: 0.3996825396825397 and parameters: {'reg_alpha': 7.404841350680567e-07, 'reg_lambda': 8.37591478754301e-05, 'num_leaves': 222, 'colsample_bytree': 0.4641197678652076, 'subsample': 0.46029253941635695, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000054 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,450] Trial 17 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.03913219995702324, 'reg_lambda': 1.8730475293303888e-06, 'num_leaves': 98, 'colsample_bytree': 0.5674775283295275, 'subsample': 0.5659729474774685, 'subsample_freq': 7, 'min_child_samples': 60}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.796944\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 512\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:34,718] Trial 18 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 2.0383137726432683e-05, 'reg_lambda': 0.0001658197303654993, 'num_leaves': 217, 'colsample_bytree': 0.4460145188879866, 'subsample': 0.6519326143420896, 'subsample_freq': 4, 'min_child_samples': 46}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:34,895] Trial 19 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 1.210755486317726e-06, 'reg_lambda': 0.3939564486010488, 'num_leaves': 169, 'colsample_bytree': 0.48411355163216113, 'subsample': 0.5613513877827072, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 514\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000051 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,180] Trial 20 finished with value: 0.972063492063492 and parameters: {'reg_alpha': 0.004456616575399621, 'reg_lambda': 0.010223820219843454, 'num_leaves': 226, 'colsample_bytree': 0.6070200819553984, 'subsample': 0.49598238052982047, 'subsample_freq': 2, 'min_child_samples': 33}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:35,462] Trial 21 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 9.272605592006094, 'reg_lambda': 0.0003853204978908573, 'num_leaves': 68, 'colsample_bytree': 0.6638570372803919, 'subsample': 0.6033517972043934, 'subsample_freq': 6, 'min_child_samples': 61}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 475\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 12\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 451\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 11\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 516\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 469\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 12\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:35,801] Trial 22 finished with value: 0.39984126984126983 and parameters: {'reg_alpha': 0.1458044208458148, 'reg_lambda': 0.0002635334429774789, 'num_leaves': 4, 'colsample_bytree': 0.6228961322804515, 'subsample': 0.5924616390406938, 'subsample_freq': 6, 'min_child_samples': 69}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,052] Trial 23 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.0045298901583057626, 'reg_lambda': 0.006852795788446775, 'num_leaves': 29, 'colsample_bytree': 0.6852112500141498, 'subsample': 0.6934455404726255, 'subsample_freq': 5, 'min_child_samples': 51}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000049 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:36,365] Trial 24 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.0002492691375793901, 'reg_lambda': 0.0007661520730869918, 'num_leaves': 89, 'colsample_bytree': 0.7461820533210299, 'subsample': 0.59785633005127, 'subsample_freq': 7, 'min_child_samples': 56}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,497] Trial 25 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 9.885280122324115, 'reg_lambda': 1.1892790685947796e-06, 'num_leaves': 127, 'colsample_bytree': 0.5607651901807214, 'subsample': 0.540509689692575, 'subsample_freq': 4, 'min_child_samples': 87}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,633] Trial 26 finished with value: 0.3980952380952381 and parameters: {'reg_alpha': 0.7591499623456377, 'reg_lambda': 1.1083100692259185, 'num_leaves': 10, 'colsample_bytree': 0.7218453973962333, 'subsample': 0.49050613620812344, 'subsample_freq': 6, 'min_child_samples': 75}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000058 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000050 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:36,912] Trial 27 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 5.268747046658926e-05, 'reg_lambda': 0.02578002257343377, 'num_leaves': 181, 'colsample_bytree': 0.44050036269356, 'subsample': 0.41107881055088813, 'subsample_freq': 4, 'min_child_samples': 43}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 369\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 370\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 9\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 415\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 10\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 382\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 9\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 420\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 10\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:13:37,164] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.04959916728781457, 'reg_lambda': 0.0033717958885041486, 'num_leaves': 74, 'colsample_bytree': 0.5193678712974156, 'subsample': 0.6453349882937712, 'subsample_freq': 5, 'min_child_samples': 70}. Best is trial 8 with value: 0.3979365079365079.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:13:37,350] Trial 29 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 5.2681616777847485e-06, 'reg_lambda': 0.0811443138869013, 'num_leaves': 37, 'colsample_bytree': 0.46754583162034374, 'subsample': 0.45915507405019795, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 8 with value: 0.3979365079365079.\n:29: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,415] Trial 1 failed with value None.\n[I 2023-11-01 05:14:12,422] Trial 2 finished with value: 0.06155311128881662 and parameters: {'x': 0.24809899493713516}. Best is trial 2 with value: 0.06155311128881662.\n[I 2023-11-01 05:14:12,424] Trial 3 finished with value: 0.005369636080254134 and parameters: {'x': 0.07327780073292411}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,438] Trial 4 finished with value: 0.021858435926610333 and parameters: {'x': 0.14784598718467246}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,487] Trial 5 pruned. \n[I 2023-11-01 05:14:12,509] Trial 7 finished with value: 0.03595212348186679 and parameters: {'x': 0.18961045193202508}. Best is trial 3 with value: 0.005369636080254134.\n[I 2023-11-01 05:14:12,511] Trial 8 finished with value: 2.446768561383124e-07 and parameters: {'x': 0.0004946482145306019}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,518] Trial 6 pruned. \n[I 2023-11-01 05:14:12,530] Trial 10 finished with value: 0.009389865639095555 and parameters: {'x': 0.09690131907820221}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,589] Trial 11 pruned. \n[W 2023-11-01 05:14:12,601] Trial 9 failed with parameters: {'x': 0.887908298101013} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,603] Trial 9 failed with value None.\n[I 2023-11-01 05:14:12,631] Trial 12 finished with value: 0.11746620911860982 and parameters: {'x': 0.34273343740961404}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,639] Trial 14 finished with value: 0.00011442633347447766 and parameters: {'x': 0.010697024514998443}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,646] Trial 13 finished with value: 0.1363830898213314 and parameters: {'x': 0.3693008121048902}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,651] Trial 15 finished with value: 0.0003008432021390325 and parameters: {'x': 0.01734483214502327}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,654] Trial 16 finished with value: 0.00013237583410829288 and parameters: {'x': 0.011505469747398099}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,659] Trial 17 finished with value: 8.779648725254788e-07 and parameters: {'x': 0.000936997797503003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,690] Trial 18 finished with value: 0.05966236328605052 and parameters: {'x': 0.24425880390694318}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,697] Trial 19 finished with value: 0.06982972196545881 and parameters: {'x': 0.2642531399349094}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,748] Trial 21 pruned. \n[I 2023-11-01 05:14:12,771] Trial 22 finished with value: 0.020025919922487447 and parameters: {'x': 0.1415129673298085}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,790] Trial 23 finished with value: 0.015569875899131157 and parameters: {'x': 0.12477930877806287}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,795] Trial 20 failed with parameters: {'x': 0.9639984870203954} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,797] Trial 20 failed with value None.\n[I 2023-11-01 05:14:12,804] Trial 24 finished with value: 0.001068210162884126 and parameters: {'x': 0.0326834845584758}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,804] Trial 25 finished with value: 1.066087043034236e-05 and parameters: {'x': 0.0032650988392914477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 27 finished with value: 0.012272595012858723 and parameters: {'x': 0.11078174494409593}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,828] Trial 26 finished with value: 0.012245107190080916 and parameters: {'x': 0.11065761243620303}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,841] Trial 28 finished with value: 7.507749924984484e-07 and parameters: {'x': 0.0008664727303836217}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,860] Trial 29 finished with value: 0.0369054343668351 and parameters: {'x': 0.1921078716940956}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,867] Trial 30 finished with value: 0.035747743375425745 and parameters: {'x': 0.1890707364332877}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:12,883] Trial 31 finished with value: 0.007265789905065834 and parameters: {'x': 0.08523960291475925}. Best is trial 8 with value: 2.446768561383124e-07.\n[W 2023-11-01 05:14:12,972] Trial 32 failed with parameters: {'x': 0.9717554017884668} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,974] Trial 32 failed with value None.\n[W 2023-11-01 05:14:12,982] Trial 33 failed with parameters: {'x': 0.9017197185233445} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:12,983] Trial 33 failed with value None.\n[I 2023-11-01 05:14:13,023] Trial 35 finished with value: 0.10373012629488804 and parameters: {'x': 0.32207161671728857}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,075] Trial 36 pruned. \n[W 2023-11-01 05:14:13,078] Trial 34 failed with parameters: {'x': 0.9502114067961058} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:14:13,085] Trial 34 failed with value None.\n[I 2023-11-01 05:14:13,086] Trial 37 finished with value: 0.0002008832603054036 and parameters: {'x': 0.014173329189199113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,104] Trial 39 finished with value: 0.0024542189102818874 and parameters: {'x': 0.04954007378155474}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,111] Trial 38 finished with value: 0.007986706098880164 and parameters: {'x': 0.08936837303476082}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,119] Trial 40 finished with value: 0.0046213311678563185 and parameters: {'x': 0.06798037340186003}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,125] Trial 41 finished with value: 0.003469753941872069 and parameters: {'x': 0.05890461732217661}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,144] Trial 42 finished with value: 0.024573981783423102 and parameters: {'x': 0.15676090642575113}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,150] Trial 43 finished with value: 0.02526823582515922 and parameters: {'x': 0.15895985601767265}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,158] Trial 44 finished with value: 6.15676757814675e-07 and parameters: {'x': 0.0007846507234525914}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,172] Trial 46 finished with value: 0.004410565342955056 and parameters: {'x': 0.06641208732568986}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,184] Trial 45 finished with value: 0.059752659527729485 and parameters: {'x': 0.24444357125465477}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,192] Trial 48 finished with value: 3.525097375814069e-05 and parameters: {'x': 0.005937253048181515}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,202] Trial 47 finished with value: 0.05647159225490874 and parameters: {'x': 0.23763752282606537}. Best is trial 8 with value: 2.446768561383124e-07.\n[I 2023-11-01 05:14:13,203] Trial 49 finished with value: 0.001870989629499174 and parameters: {'x': 0.04325493763143318}. Best is trial 8 with value: 2.446768561383124e-07.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/003_attributes\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/004_cli\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/005_user_defined_sampler\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/006_user_defined_pruner\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/007_optuna_callback\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/008_specify_params\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/009_ask_and_tell\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/010_reuse_best_trial\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/011_journal_storage\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/012_artifact_tutorial\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/index\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/sg_execution_times\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n\u001b[2Kreading sources... [100%] tutorial/index\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\nrunning tests...\n\nDocument: reference/generated/optuna.logging.disable_propagation\n----------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.Study\n------------------------------------------------\n1 items passed all tests:\n 13 tests in default\n13 tests in 1 items.\n13 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.ThresholdPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.HyperbandPruner\n------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_summaries\n------------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.OptunaSearchCV\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.Trial\n------------------------------------------------\n1 items passed all tests:\n 5 tests in default\n5 tests in 1 items.\n5 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.get_all_study_names\n--------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PatientPruner\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FixedTrial\n-----------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.PyCmaSampler\n-------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.exceptions.TrialPruned\n-----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.enable_propagation\n---------------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.Terminator\n----------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.disable_default_handler\n--------------------------------------------------------------------\n:11: ExperimentalWarning:\n\nset_metric_names is experimental (supported from v3.2.0). The interface can change in the future.\n\n:9: ExperimentalWarning:\n\nOptunaSearchCV is experimental (supported from v0.17.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:609: UserWarning:\n\nGot `batch_size` less than 1 or larger than sample size. It is going to be clipped\n\n:32: ExperimentalWarning:\n\nPatientPruner is experimental (supported from v2.8.0). The interface can change in the future.\n\n:15: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:58,811] Trial 10 finished with value: 8420.862615813568 and parameters: {'x': -91.76525821798558, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,817] Trial 11 finished with value: 1408.0649758469222 and parameters: {'x': 37.5241918746683, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,824] Trial 12 finished with value: 42.70715648944578 and parameters: {'x': -6.535071268888028, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,830] Trial 13 finished with value: 2234.602459385409 and parameters: {'x': 47.27158194291163, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,836] Trial 14 finished with value: 83.63400397683145 and parameters: {'x': -9.090324745399993, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,843] Trial 15 finished with value: 402.11064922886493 and parameters: {'x': -20.052696806885226, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,849] Trial 16 finished with value: 2508.3886399376997 and parameters: {'x': 50.08381614791049, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,855] Trial 17 finished with value: 4.788410752495368 and parameters: {'x': 2.1882437598438087, 'y': 0}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,862] Trial 18 finished with value: 4411.350557719259 and parameters: {'x': 66.4104702416664, 'y': 1}. Best is trial 6 with value: 0.5958781968809845.\n[I 2023-11-01 05:14:58,868] Trial 19 finished with value: 661.2263849868178 and parameters: {'x': 25.73375963567737, 'y': -1}. Best is trial 6 with value: 0.5958781968809845.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.SuccessiveHalvingPruner\n--------------------------------------------------------------------\n[I 2023-11-01 05:14:58,874] A new study created in memory with name: no-name-917605f4-0019-4231-aa55-8350086eb4d7\n[I 2023-11-01 05:14:59,111] Trial 0 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.26996018741075234}. Best is trial 0 with value: 0.7631578947368421.\n[I 2023-11-01 05:14:59,348] Trial 1 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.007101860509434954}. Best is trial 1 with value: 0.8947368421052632.\n[I 2023-11-01 05:14:59,354] Trial 2 pruned. \n[I 2023-11-01 05:14:59,396] Trial 3 pruned. \n[I 2023-11-01 05:14:59,402] Trial 4 pruned. \n[I 2023-11-01 05:14:59,408] Trial 5 pruned. \n[I 2023-11-01 05:14:59,413] Trial 6 pruned. \n[I 2023-11-01 05:14:59,419] Trial 7 pruned. \n[I 2023-11-01 05:14:59,432] Trial 8 pruned. \n[I 2023-11-01 05:14:59,445] Trial 9 pruned. \n[I 2023-11-01 05:14:59,456] Trial 10 pruned. \n[I 2023-11-01 05:14:59,502] Trial 11 pruned. \n[I 2023-11-01 05:14:59,513] Trial 12 pruned. \n[I 2023-11-01 05:14:59,560] Trial 13 pruned. \n[I 2023-11-01 05:14:59,578] Trial 14 pruned. \n[I 2023-11-01 05:14:59,596] Trial 15 pruned. \n[I 2023-11-01 05:14:59,613] Trial 16 pruned. \n[I 2023-11-01 05:14:59,631] Trial 17 pruned. \n[I 2023-11-01 05:14:59,650] Trial 18 pruned. \n[I 2023-11-01 05:14:59,667] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RetryFailedTrialCallback\n----------------------------------------------------------------------\n:8: ExperimentalWarning:\n\nRetryFailedTrialCallback is experimental (supported from v2.8.0). The interface can change in the future.\n\n[I 2023-11-01 05:14:59,789] A new study created in RDB with name: no-name-64c10aa6-5606-443f-8d69-91fe03a4b4df\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.create_study\n-------------------------------------------------\n[I 2023-11-01 05:14:59,796] A new study created in memory with name: no-name-6333f825-b596-4167-9c9c-e32f442c7391\n[I 2023-11-01 05:14:59,798] Trial 0 finished with value: 51.167038854924776 and parameters: {'x': 7.15311392715961}. Best is trial 0 with value: 51.167038854924776.\n[I 2023-11-01 05:14:59,798] Trial 1 finished with value: 17.363420428675674 and parameters: {'x': 4.166943775559694}. Best is trial 1 with value: 17.363420428675674.\n[I 2023-11-01 05:14:59,799] Trial 2 finished with value: 0.7732100598980407 and parameters: {'x': 0.8793236377455349}. Best is trial 2 with value: 0.7732100598980407.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.get_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:14:59,802] A new study created in memory with name: no-name-035aff76-ee29-408b-863e-6daf61f9ea78\n[I 2023-11-01 05:14:59,803] Trial 0 finished with value: 2435.407015348444 and parameters: {'x': 49.33971032898799, 'y': 1}. Best is trial 0 with value: 2435.407015348444.\n[I 2023-11-01 05:14:59,804] Trial 1 finished with value: 202.19536250930184 and parameters: {'x': 14.219541571699907, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,805] Trial 2 finished with value: 1639.7330682732425 and parameters: {'x': 40.49361762393232, 'y': 0}. Best is trial 1 with value: 202.19536250930184.\n[I 2023-11-01 05:14:59,806] Trial 3 finished with value: 62.56425568832345 and parameters: {'x': 7.909756993000698, 'y': 0}. Best is trial 3 with value: 62.56425568832345.\n[I 2023-11-01 05:14:59,807] Trial 4 finished with value: 82.73045707361166 and parameters: {'x': 9.040489869117252, 'y': 1}. Best is trial 3 with value: 62.56425568832345.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.create_trial\n-------------------------------------------------------\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.trial.FrozenTrial\n------------------------------------------------------\n[I 2023-11-01 05:14:59,823] A new study created in memory with name: no-name-e3617054-94a0-40a1-ae5f-b3d28c38818a\n[I 2023-11-01 05:14:59,824] Trial 0 finished with value: 0.38410993580286207 and parameters: {'x': 0.6197660331148054}. Best is trial 0 with value: 0.38410993580286207.\n[I 2023-11-01 05:14:59,825] Trial 1 finished with value: 0.21391807624321418 and parameters: {'x': -0.46251278495109105}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,825] Trial 2 finished with value: 0.22355716294436873 and parameters: {'x': -0.4728183191717181}. Best is trial 1 with value: 0.21391807624321418.\n[I 2023-11-01 05:14:59,827] A new study created in memory with name: no-name-8a627990-8461-4853-a421-520614373f1f\n[I 2023-11-01 05:14:59,828] Trial 0 finished with value: 0.5673565512608952 and parameters: {'x': 0.7532307423763951}. Best is trial 0 with value: 0.5673565512608952.\n[I 2023-11-01 05:14:59,828] Trial 1 finished with value: 0.06892322719174854 and parameters: {'x': -0.2625323355165008}. Best is trial 1 with value: 0.06892322719174854.\n[I 2023-11-01 05:14:59,829] Trial 2 finished with value: 0.7249401769669949 and parameters: {'x': 0.8514341882770475}. Best is trial 1 with value: 0.06892322719174854.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.storages.RDBStorage\n--------------------------------------------------------\n[I 2023-11-01 05:14:59,953] A new study created in RDB with name: no-name-65c31eaf-6f89-4405-bfb1-ddf7c45ffeed\n[I 2023-11-01 05:15:00,014] Trial 0 finished with value: 8733.71276646968 and parameters: {'x': 93.45433519355686}. Best is trial 0 with value: 8733.71276646968.\n[I 2023-11-01 05:15:00,052] Trial 1 finished with value: 7.844447596898943 and parameters: {'x': 2.800794101125419}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,091] Trial 2 finished with value: 20.576983478913856 and parameters: {'x': 4.536186005766723}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,129] Trial 3 finished with value: 414.5454161241118 and parameters: {'x': -20.3603884079875}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,168] Trial 4 finished with value: 6391.692458270527 and parameters: {'x': -79.94806100382002}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,206] Trial 5 finished with value: 6222.597646022455 and parameters: {'x': -78.88344342143321}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,244] Trial 6 finished with value: 3390.3597225386325 and parameters: {'x': 58.2267955716149}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,284] Trial 7 finished with value: 8425.545975052099 and parameters: {'x': -91.79077282086745}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,322] Trial 8 finished with value: 5147.9123937377 and parameters: {'x': -71.74895395570377}. Best is trial 1 with value: 7.844447596898943.\n[I 2023-11-01 05:15:00,360] Trial 9 finished with value: 8215.051648462217 and parameters: {'x': -90.63692210386569}. Best is trial 1 with value: 7.844447596898943.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.MedianPruner\n---------------------------------------------------------\n[I 2023-11-01 05:15:00,383] A new study created in memory with name: no-name-aacc92af-ccf3-4dc1-a713-0d46f9de3d53\n[I 2023-11-01 05:15:00,617] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8900275218400758}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:00,850] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5634878036197608}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,083] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4040747466194945}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,318] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4783241251913214}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,551] Trial 4 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.8707750616362302}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:01,788] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9249619146907943}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:02,025] Trial 6 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.08264110962511906}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,263] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7506530969462019}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,500] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.5048165389279897}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,738] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9135386471399233}. Best is trial 6 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:02,979] Trial 10 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.0024184174512538043}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,221] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.05713140232857587}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,462] Trial 12 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.000327318952390283}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,703] Trial 13 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.1802915314161863}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:03,946] Trial 14 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.21243134666711316}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,188] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 6.642720023037046e-05}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,430] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.27234588757769274}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,671] Trial 17 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.11896580534692028}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:04,912] Trial 18 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.3052397579846231}. Best is trial 10 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:05,155] Trial 19 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.0852653270125844}. Best is trial 10 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.PercentilePruner\n-------------------------------------------------------------\n[I 2023-11-01 05:15:05,163] A new study created in memory with name: no-name-39aaee4a-ecfc-44d1-875e-ff44cf0bc1a3\n[I 2023-11-01 05:15:05,395] Trial 0 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.830037084935752}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,628] Trial 1 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.5799656547876723}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:05,859] Trial 2 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.988208794686432}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,091] Trial 3 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.1761997812225199}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,325] Trial 4 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.703377804903358}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,562] Trial 5 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3692063139708507}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:06,798] Trial 6 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.3237674321734978}. Best is trial 0 with value: 0.6052631578947368.\n[I 2023-11-01 05:15:07,035] Trial 7 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.03763408434219928}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,272] Trial 8 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.9211202997722291}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,509] Trial 9 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.04449634990906848}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:07,759] Trial 10 finished with value: 0.8157894736842105 and parameters: {'alpha': 0.03362066511037088}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,002] Trial 11 finished with value: 0.6842105263157895 and parameters: {'alpha': 0.06587823380026459}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,244] Trial 12 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.22932111886049228}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,487] Trial 13 finished with value: 0.8947368421052632 and parameters: {'alpha': 0.0005069197211796522}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,730] Trial 14 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.17268967895800866}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:08,979] Trial 15 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.39348371767727536}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,222] Trial 16 finished with value: 0.631578947368421 and parameters: {'alpha': 0.11659650770539962}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,465] Trial 17 finished with value: 0.6052631578947368 and parameters: {'alpha': 0.26115874068921163}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,708] Trial 18 finished with value: 0.6578947368421053 and parameters: {'alpha': 0.11460219534083682}. Best is trial 7 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:09,812] Trial 19 pruned. \n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.logging.set_verbosity\n----------------------------------------------------------\n[I 2023-11-01 05:15:09,820] A new study created in memory with name: no-name-d038298a-3dfd-428e-ae71-9eaabf206b08\n[I 2023-11-01 05:15:09,821] Trial 0 finished with value: 64.0 and parameters: {'x': -8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,822] Trial 1 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 2 finished with value: 81.0 and parameters: {'x': 9}. Best is trial 0 with value: 64.0.\n[I 2023-11-01 05:15:09,823] Trial 3 finished with value: 16.0 and parameters: {'x': 4}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,824] Trial 4 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 3 with value: 16.0.\n[I 2023-11-01 05:15:09,825] Trial 5 finished with value: 4.0 and parameters: {'x': 2}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,825] Trial 6 finished with value: 64.0 and parameters: {'x': 8}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,826] Trial 7 finished with value: 100.0 and parameters: {'x': -10}. Best is trial 5 with value: 4.0.\n[I 2023-11-01 05:15:09,827] Trial 8 finished with value: 1.0 and parameters: {'x': 1}. Best is trial 8 with value: 1.0.\n[I 2023-11-01 05:15:09,828] Trial 9 finished with value: 36.0 and parameters: {'x': -6}. Best is trial 8 with value: 1.0.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.pruners.NopPruner\n------------------------------------------------------\n[I 2023-11-01 05:15:09,894] A new study created in memory with name: no-name-b6ae266a-c58b-483c-9748-452f981139cf\n[I 2023-11-01 05:15:10,129] Trial 0 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7888446663072128}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,363] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.49774357670954805}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,596] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.9972282839019428}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:10,828] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.957763734625193}. Best is trial 0 with value: 0.7105263157894737.\n[I 2023-11-01 05:15:11,061] Trial 4 finished with value: 0.8421052631578947 and parameters: {'alpha': 0.19591910311602134}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,292] Trial 5 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.44670845664520975}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,524] Trial 6 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.34623912680349433}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,757] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6844346936683634}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:11,990] Trial 8 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6092516696585111}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,223] Trial 9 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6512817998983186}. Best is trial 4 with value: 0.8421052631578947.\n[I 2023-11-01 05:15:12,461] Trial 10 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.06533947725063124}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,698] Trial 11 finished with value: 0.9210526315789473 and parameters: {'alpha': 0.055748249352216867}. Best is trial 10 with value: 0.9210526315789473.\n[I 2023-11-01 05:15:12,936] Trial 12 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.01669022760326091}. Best is trial 12 with value: 0.9473684210526315.\n[I 2023-11-01 05:15:13,173] Trial 13 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.04181224179042709}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,410] Trial 14 finished with value: 0.9736842105263158 and parameters: {'alpha': 0.022983310565195807}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,647] Trial 15 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.24362427501841794}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:13,885] Trial 16 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.1786801934817953}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,121] Trial 17 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.32301381348694574}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,357] Trial 18 finished with value: 0.7631578947368421 and parameters: {'alpha': 0.13271796490952817}. Best is trial 13 with value: 0.9736842105263158.\n[I 2023-11-01 05:15:14,594] Trial 19 finished with value: 0.9473684210526315 and parameters: {'alpha': 0.008860713463394156}. Best is trial 13 with value: 0.9736842105263158.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.delete_study\n-------------------------------------------------\n[I 2023-11-01 05:15:14,754] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:14,824] Trial 0 finished with value: 13.552624973639903 and parameters: {'x': -1.6813890005865861}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,875] Trial 1 finished with value: 44.319937086643776 and parameters: {'x': 8.657322065714094}. Best is trial 0 with value: 13.552624973639903.\n[I 2023-11-01 05:15:14,923] Trial 2 finished with value: 6.073637874685441 and parameters: {'x': 4.464475172259895}. Best is trial 2 with value: 6.073637874685441.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.TrialPruned\n------------------------------------------------\n[I 2023-11-01 05:15:15,532] A new study created in memory with name: no-name-de16d520-6432-4031-badf-b005d0dc9334\n[I 2023-11-01 05:15:15,764] Trial 0 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.3667706340718867}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:15,997] Trial 1 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.6023963605102868}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,232] Trial 2 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.7440896231562807}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,467] Trial 3 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.4488003686129878}. Best is trial 0 with value: 0.7368421052631579.\n[I 2023-11-01 05:15:16,701] Trial 4 finished with value: 0.7894736842105263 and parameters: {'alpha': 0.13316278211560562}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:16,705] Trial 5 pruned. \n[I 2023-11-01 05:15:16,729] Trial 6 pruned. \n[I 2023-11-01 05:15:16,989] Trial 7 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.618210536684779}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,003] Trial 8 pruned. \n[I 2023-11-01 05:15:17,006] Trial 9 pruned. \n[I 2023-11-01 05:15:17,271] Trial 10 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2541894793278965}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,291] Trial 11 pruned. \n[I 2023-11-01 05:15:17,300] Trial 12 pruned. \n[I 2023-11-01 05:15:17,309] Trial 13 pruned. \n[I 2023-11-01 05:15:17,574] Trial 14 finished with value: 0.7368421052631579 and parameters: {'alpha': 0.2136223800498176}. Best is trial 4 with value: 0.7894736842105263.\n[I 2023-11-01 05:15:17,593] Trial 15 pruned. \n[I 2023-11-01 05:15:17,613] Trial 16 pruned. \n[I 2023-11-01 05:15:17,632] Trial 17 pruned. \n[I 2023-11-01 05:15:17,641] Trial 18 pruned. \n[I 2023-11-01 05:15:17,906] Trial 19 finished with value: 0.7105263157894737 and parameters: {'alpha': 0.40616669604015154}. Best is trial 4 with value: 0.7894736842105263.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.load_study\n-----------------------------------------------\n[I 2023-11-01 05:15:18,070] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:18,140] Trial 0 finished with value: 10.43301726991169 and parameters: {'x': 3.2300181531860916}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,196] Trial 1 finished with value: 28.390259830261034 and parameters: {'x': 5.32825110428}. Best is trial 0 with value: 10.43301726991169.\n[I 2023-11-01 05:15:18,250] Trial 2 finished with value: 84.2840105002338 and parameters: {'x': 9.180632358407225}. Best is trial 0 with value: 10.43301726991169.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n:10: ExperimentalWarning:\n 1 tests in default (cleanup code)\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,321] A new study created in memory with name: my_study\n[I 2023-11-01 05:15:18,323] Trial 0 finished with value: 18.73553231771368 and parameters: {'x': -2.3284561124855685}. Best is trial 0 with value: 18.73553231771368.\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.integration.MLflowCallback\n---------------------------------------------------------------\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,480] Trial 1 finished with value: 57.026131755409615 and parameters: {'x': 9.55156485474432}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,496] Trial 2 finished with value: 33.202144231904214 and parameters: {'x': -3.762130181790777}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,511] Trial 3 finished with value: 23.90531725849781 and parameters: {'x': 6.889306418961468}. Best is trial 0 with value: 18.73553231771368.\n[I 2023-11-01 05:15:18,526] Trial 4 finished with value: 1.4769224668183483 and parameters: {'x': 3.2152869894878116}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,541] Trial 5 finished with value: 13.067063648099865 and parameters: {'x': 5.614839366846038}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,556] Trial 6 finished with value: 99.74443983009965 and parameters: {'x': -7.987213817181429}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,571] Trial 7 finished with value: 5.569085714490087 and parameters: {'x': -0.3598910386901526}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,586] Trial 8 finished with value: 1.4981016621204488 and parameters: {'x': 0.7760303671575635}. Best is trial 4 with value: 1.4769224668183483.\n[I 2023-11-01 05:15:18,601] Trial 9 finished with value: 3.387025077127389 and parameters: {'x': 3.8403872084774413}. Best is trial 4 with value: 1.4769224668183483.\n:5: ExperimentalWarning:\n\nMLflowCallback is experimental (supported from v1.4.0). The interface can change in the future.\n\n:11: ExperimentalWarning:\n\ntrack_in_mlflow is experimental (supported from v2.9.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:18,618] A new study created in memory with name: my_other_study\n2023/11/01 05:15:18 INFO mlflow.tracking.fluent: Experiment with name 'my_other_study' does not exist. Creating a new experiment.\n[I 2023-11-01 05:15:18,635] Trial 0 finished with value: 21.922569148157685 and parameters: {'x': 6.682154327674141}. Best is trial 0 with value: 21.922569148157685.\n[I 2023-11-01 05:15:18,660] Trial 1 finished with value: 7.099018375031745 and parameters: {'x': 4.664398313884721}. Best is trial 1 with value: 7.099018375031745.\n[I 2023-11-01 05:15:18,685] Trial 2 finished with value: 4.5304685646287925 and parameters: {'x': 4.128489737966522}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,709] Trial 3 finished with value: 17.173811395481042 and parameters: {'x': -2.1441297512844653}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,734] Trial 4 finished with value: 18.418604713468877 and parameters: {'x': -2.2916901930904654}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,761] Trial 5 finished with value: 8.619242637640271 and parameters: {'x': 4.935854669025746}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,787] Trial 6 finished with value: 8.985324112134336 and parameters: {'x': 4.997553020737804}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,812] Trial 7 finished with value: 72.53608347596963 and parameters: {'x': -6.516811814051642}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,836] Trial 8 finished with value: 23.440844148422773 and parameters: {'x': 6.8415745526040155}. Best is trial 2 with value: 4.5304685646287925.\n[I 2023-11-01 05:15:18,862] Trial 9 finished with value: 138.1063998853089 and parameters: {'x': -9.751867931750633}. Best is trial 2 with value: 4.5304685646287925.\n1 items passed all tests:\n 2 tests in default\n2 tests in 1 items.\n2 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_names\n--------------------------------------------------------\n[I 2023-11-01 05:15:19,046] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,120] Trial 0 finished with value: 1.5297720116310878 and parameters: {'x': 0.7631604745840761}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,178] Trial 1 finished with value: 40.2293402927188 and parameters: {'x': 8.342660348207115}. Best is trial 0 with value: 1.5297720116310878.\n[I 2023-11-01 05:15:19,227] Trial 2 finished with value: 1.6298673187357737 and parameters: {'x': 3.2766625704295453}. Best is trial 0 with value: 1.5297720116310878.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.copy_study\n-----------------------------------------------\n[I 2023-11-01 05:15:19,455] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,526] Trial 0 finished with value: 0.07393057763188822 and parameters: {'x': 2.2719017793834535}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,579] Trial 1 finished with value: 2.788360612876335 and parameters: {'x': 3.6698384990400523}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,627] Trial 2 finished with value: 44.67409624394218 and parameters: {'x': -4.683868359261886}. Best is trial 0 with value: 0.07393057763188822.\n[I 2023-11-01 05:15:19,828] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:19,937] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.create_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:19,995] A new study created in memory with name: no-name-3ddb27f5-4336-4257-aabd-b486af1f6709\n[I 2023-11-01 05:15:19,997] Trial 0 finished with value: 8.217642312608634 and parameters: {'x': 2.866643038923513}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,997] Trial 1 finished with value: 15.097055650868775 and parameters: {'x': 3.8854929739826805}. Best is trial 0 with value: 8.217642312608634.\n[I 2023-11-01 05:15:19,998] Trial 2 finished with value: 39.93648245615986 and parameters: {'x': 6.319531822545073}. Best is trial 0 with value: 8.217642312608634.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.load_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:20,162] A new study created in RDB with name: my_study\n[I 2023-11-01 05:15:20,233] Trial 0 finished with value: 67.51380112033551 and parameters: {'x': 8.21667822908598}. Best is trial 0 with value: 67.51380112033551.\n[I 2023-11-01 05:15:20,291] Trial 1 finished with value: 57.90566065189771 and parameters: {'x': 7.609576903606252}. Best is trial 1 with value: 57.90566065189771.\n[I 2023-11-01 05:15:20,340] Trial 2 finished with value: 9.386942246031872 and parameters: {'x': 3.063811718436998}. Best is trial 2 with value: 9.386942246031872.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.delete_study\n-------------------------------------------------------\n[I 2023-11-01 05:15:20,562] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:20,633] Trial 0 finished with value: 111.95528925950318 and parameters: {'x': -8.580892649465033}. Best is trial 0 with value: 111.95528925950318.\n[I 2023-11-01 05:15:20,684] Trial 1 finished with value: 11.946196278148994 and parameters: {'x': 5.456326992364726}. Best is trial 1 with value: 11.946196278148994.\n[I 2023-11-01 05:15:20,735] Trial 2 finished with value: 99.55676583906153 and parameters: {'x': -7.977813680314016}. Best is trial 1 with value: 11.946196278148994.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.get_all_study_summaries\n------------------------------------------------------------\n[I 2023-11-01 05:15:20,958] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:21,038] Trial 0 finished with value: 4.687195233258842 and parameters: {'x': -0.16499312545302125}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,092] Trial 1 finished with value: 48.71055027240857 and parameters: {'x': -4.979294396456462}. Best is trial 0 with value: 4.687195233258842.\n[I 2023-11-01 05:15:21,139] Trial 2 finished with value: 62.79169263770763 and parameters: {'x': -5.9241209378522}. Best is trial 0 with value: 4.687195233258842.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.terminator.TerminatorCallback\n------------------------------------------------------------------\n[I 2023-11-01 05:15:21,213] A new study created in memory with name: no-name-7a23e275-23c1-4d0c-af2e-df8d3df04b4c\n:26: ExperimentalWarning:\n\nTerminatorCallback is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/callback.py:71: ExperimentalWarning:\n\nTerminator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:111: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/terminator/terminator.py:118: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:15:21,917] Trial 0 finished with value: 0.39936507936507937 and parameters: {'max_depth': 10, 'min_samples_split': 0.8106455221614581, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:22,620] Trial 1 finished with value: 0.39936507936507937 and parameters: {'max_depth': 19, 'min_samples_split': 0.7282400141475627, 'criterion': 'entropy'}. Best is trial 0 with value: 0.39936507936507937.\n[I 2023-11-01 05:15:23,380] Trial 2 finished with value: 0.9607936507936508 and parameters: {'max_depth': 21, 'min_samples_split': 0.26875937574989217, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,089] Trial 3 finished with value: 0.32571428571428573 and parameters: {'max_depth': 6, 'min_samples_split': 0.9727694741372735, 'criterion': 'entropy'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:24,802] Trial 4 finished with value: 0.3988888888888889 and parameters: {'max_depth': 15, 'min_samples_split': 0.7732265721868287, 'criterion': 'gini'}. Best is trial 2 with value: 0.9607936507936508.\n[I 2023-11-01 05:15:25,613] Trial 5 finished with value: 0.9719047619047618 and parameters: {'max_depth': 11, 'min_samples_split': 0.05116885754843559, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:26,315] Trial 6 finished with value: 0.3996825396825397 and parameters: {'max_depth': 7, 'min_samples_split': 0.7216211812618147, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,042] Trial 7 finished with value: 0.9382539682539683 and parameters: {'max_depth': 32, 'min_samples_split': 0.5043817996487071, 'criterion': 'gini'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:27,814] Trial 8 finished with value: 0.9607936507936508 and parameters: {'max_depth': 6, 'min_samples_split': 0.2215017961776773, 'criterion': 'entropy'}. Best is trial 5 with value: 0.9719047619047618.\n[I 2023-11-01 05:15:28,573] Trial 9 finished with value: 0.9831746031746033 and parameters: {'max_depth': 7, 'min_samples_split': 0.20617106345267322, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:29,365] Trial 10 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.029043984899351782, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,157] Trial 11 finished with value: 0.9830158730158731 and parameters: {'max_depth': 26, 'min_samples_split': 0.014847021694567426, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:30,935] Trial 12 finished with value: 0.9774603174603176 and parameters: {'max_depth': 26, 'min_samples_split': 0.19232457365054262, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:31,689] Trial 13 finished with value: 0.9665079365079364 and parameters: {'max_depth': 25, 'min_samples_split': 0.3733790544476438, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:32,453] Trial 14 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.032021328527321584, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,239] Trial 15 finished with value: 0.9831746031746033 and parameters: {'max_depth': 31, 'min_samples_split': 0.14291146022807888, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:33,994] Trial 16 finished with value: 0.9774603174603176 and parameters: {'max_depth': 32, 'min_samples_split': 0.3735636149317595, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:34,781] Trial 17 finished with value: 0.9831746031746033 and parameters: {'max_depth': 15, 'min_samples_split': 0.13512238513495, 'criterion': 'gini'}. Best is trial 9 with value: 0.9831746031746033.\n[I 2023-11-01 05:15:35,571] Trial 18 finished with value: 0.9887301587301588 and parameters: {'max_depth': 21, 'min_samples_split': 0.14053030021171198, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:36,331] Trial 19 finished with value: 0.9719047619047618 and parameters: {'max_depth': 21, 'min_samples_split': 0.3092765108502869, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:38,134] Trial 20 finished with value: 0.9715873015873017 and parameters: {'max_depth': 13, 'min_samples_split': 0.49123624218204587, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:39,733] Trial 21 finished with value: 0.9830158730158731 and parameters: {'max_depth': 29, 'min_samples_split': 0.14665846941393723, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:41,459] Trial 22 finished with value: 0.9773015873015873 and parameters: {'max_depth': 22, 'min_samples_split': 0.14752222875645107, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:43,230] Trial 23 finished with value: 0.9774603174603176 and parameters: {'max_depth': 18, 'min_samples_split': 0.1137268126349236, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:44,828] Trial 24 finished with value: 0.9719047619047618 and parameters: {'max_depth': 2, 'min_samples_split': 0.23952405463021115, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,253] Trial 25 finished with value: 0.9719047619047618 and parameters: {'max_depth': 29, 'min_samples_split': 0.0961007672212649, 'criterion': 'gini'}. Best is trial 18 with value: 0.9887301587301588.\n[I 2023-11-01 05:15:46,877] The study has been stopped by the terminator.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.copy_study\n-----------------------------------------------------\n[I 2023-11-01 05:15:47,744] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:47,818] Trial 0 finished with value: 84.4430728422261 and parameters: {'x': -7.189291204561215}. Best is trial 0 with value: 84.4430728422261.\n[I 2023-11-01 05:15:47,869] Trial 1 finished with value: 62.53303418739467 and parameters: {'x': -5.907783139881535}. Best is trial 1 with value: 62.53303418739467.\n[I 2023-11-01 05:15:47,922] Trial 2 finished with value: 11.78213833718066 and parameters: {'x': -1.432511957325227}. Best is trial 2 with value: 11.78213833718066.\n[I 2023-11-01 05:15:48,118] A new study created in RDB with name: example-study\n[I 2023-11-01 05:15:48,225] Study name was omitted but trying to load 'example-study' because that was the only study found in the storage.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n1 items passed all tests:\n 1 tests in default (cleanup code)\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDocument: reference/generated/optuna.study.MaxTrialsCallback\n------------------------------------------------------------\n[I 2023-11-01 05:15:48,272] A new study created in memory with name: no-name-3ae81536-917d-4314-9a45-421c125ff75f\n[I 2023-11-01 05:15:48,273] Trial 0 finished with value: 0.7816072938762856 and parameters: {'x': 0.8840855693179737}. Best is trial 0 with value: 0.7816072938762856.\n[I 2023-11-01 05:15:48,274] Trial 1 finished with value: 0.42612986588170604 and parameters: {'x': -0.6527862329137357}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,274] Trial 2 finished with value: 0.4446801754094229 and parameters: {'x': 0.6668434414534066}. Best is trial 1 with value: 0.42612986588170604.\n[I 2023-11-01 05:15:48,275] Trial 3 finished with value: 0.1404258264698638 and parameters: {'x': 0.3747343411936832}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 4 finished with value: 0.18323201733007513 and parameters: {'x': 0.4280560913362583}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,276] Trial 5 finished with value: 0.574198435394582 and parameters: {'x': -0.7577588240295074}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,277] Trial 6 finished with value: 0.71899617668303 and parameters: {'x': 0.8479364225477226}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,278] Trial 7 finished with value: 0.16613643700261277 and parameters: {'x': 0.40759837708535196}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 8 finished with value: 0.8015686460434348 and parameters: {'x': -0.8953036613593373}. Best is trial 3 with value: 0.1404258264698638.\n[I 2023-11-01 05:15:48,279] Trial 9 finished with value: 0.32581544150802433 and parameters: {'x': -0.5708024540136669}. Best is trial 3 with value: 0.1404258264698638.\n1 items passed all tests:\n 1 tests in default\n1 tests in 1 items.\n1 passed and 0 failed.\nTest passed.\n\nDoctest summary\n===============\n 57 tests\n 0 failures in tests\n 0 failures in setup code\n 0 failures in cleanup code\n\nSphinx-Gallery successfully executed 17 out of 17 files subselected by:\n\n gallery_conf[\"filename_pattern\"] = '/*\\\\.py'\n gallery_conf[\"ignore_pattern\"] = '__init__\\\\.py'\n\nafter excluding 0 files that had previously been run (based on MD5).\n\nbuild finished with problems, 3 warnings.\nmake: *** [Makefile:24: doctest] Error 1\n##[error]Process completed with exit code 2.\n"}, {"step_name": "documentation/8_Build Document.txt", "log": "##[group]Run cd docs\n\u001b[36;1mcd docs\u001b[0m\n\u001b[36;1mmake html\u001b[0m\n\u001b[36;1mcd ../\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n pythonLocation: /opt/hostedtoolcache/Python/3.8.18/x64\n PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/pkgconfig\n Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.8.18/x64\n LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib\n##[endgroup]\nRunning Sphinx v7.1.2\nmaking output directory... done\nUsing Sphinx-Gallery to convert rst text blocks to markdown for .ipynb files.\n[autosummary] generating autosummary for: faq.rst, index.rst, installation.rst, license_thirdparty.rst, privacy.rst, reference/artifacts.rst, reference/cli.rst, reference/distributions.rst, reference/exceptions.rst, reference/importance.rst, ..., reference/samplers/index.rst, reference/samplers/nsgaii.rst, reference/search_space.rst, reference/storages.rst, reference/study.rst, reference/terminator.rst, reference/trial.rst, reference/visualization/index.rst, reference/visualization/matplotlib.rst, tutorial/index.rst\n[autosummary] generating autosummary for: /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.TrialPruned.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Backoff.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.Boto3ArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.FileSystemArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.GCSArtifactStore.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.artifacts.upload_artifact.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.copy_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.create_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.delete_study.rst, /home/runner/work/optuna/optuna/docs/source/reference/generated/optuna.distributions.CategoricalDistribution.rst, ..., /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_hypervolume_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_intermediate_values.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_optimization_history.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_parallel_coordinate.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_param_importances.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_pareto_front.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_rank.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_slice.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_terminator_improvement.rst, /home/runner/work/optuna/optuna/docs/source/reference/visualization/generated/optuna.visualization.plot_timeline.rst\nloading intersphinx inventory from https://docs.python.org/3/objects.inv...\nloading intersphinx inventory from https://distributed.dask.org/en/stable/objects.inv...\nloading intersphinx inventory from https://lightgbm.readthedocs.io/en/latest/objects.inv...\nloading intersphinx inventory from https://matplotlib.org/stable/objects.inv...\nloading intersphinx inventory from https://numpy.org/doc/stable/objects.inv...\nloading intersphinx inventory from https://docs.scipy.org/doc/scipy/objects.inv...\nloading intersphinx inventory from https://scikit-learn.org/stable/objects.inv...\nloading intersphinx inventory from https://pytorch.org/docs/stable/objects.inv...\nloading intersphinx inventory from https://pandas.pydata.org/docs/objects.inv...\nloading intersphinx inventory from https://plotly.com/python-api-reference/objects.inv...\ngenerating gallery...\n[I 2023-11-01 05:06:41,473] A new study created in memory with name: no-name-47078d7a-b5b7-4288-a2a2-84c16144b7da\n[I 2023-11-01 05:06:41,475] Trial 0 finished with value: 0.23975049341424567 and parameters: {'x': 1.510356769255159}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,475] Trial 1 finished with value: 3.7484804676688133 and parameters: {'x': 3.936099291789761}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 2 finished with value: 115.70229102466851 and parameters: {'x': -8.756499943042277}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,476] Trial 3 finished with value: 138.11293976002278 and parameters: {'x': -9.752146176763748}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 4 finished with value: 16.39382127009354 and parameters: {'x': 6.048928410097361}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,477] Trial 5 finished with value: 9.216187076408886 and parameters: {'x': -1.0358173654567704}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,478] Trial 6 finished with value: 41.553208343623744 and parameters: {'x': 8.446177808874321}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 7 finished with value: 26.649034792678144 and parameters: {'x': 7.162270313793936}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,479] Trial 8 finished with value: 112.18311916341094 and parameters: {'x': -8.591653278096434}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,480] Trial 9 finished with value: 24.425574250372637 and parameters: {'x': 6.942223613958866}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,486] Trial 10 finished with value: 1.1941588808322545 and parameters: {'x': 0.9072242312202131}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,491] Trial 11 finished with value: 0.9395641357145335 and parameters: {'x': 1.0306888344218181}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,497] Trial 12 finished with value: 5.105917361967821 and parameters: {'x': -0.25962770428400883}. Best is trial 0 with value: 0.23975049341424567.\n[I 2023-11-01 05:06:41,502] Trial 13 finished with value: 0.06473822314549495 and parameters: {'x': 2.2544370710912522}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,507] Trial 14 finished with value: 2.902736524141611 and parameters: {'x': 3.703741918290916}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,513] Trial 15 finished with value: 24.560659097208713 and parameters: {'x': -2.955871174395952}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,518] Trial 16 finished with value: 2.345746491807175 and parameters: {'x': 3.531583001932045}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,523] Trial 17 finished with value: 21.809563327763932 and parameters: {'x': -2.670071019563186}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,528] Trial 18 finished with value: 60.87970692054194 and parameters: {'x': 9.802544900257988}. Best is trial 13 with value: 0.06473822314549495.\n[I 2023-11-01 05:06:41,534] Trial 19 finished with value: 0.017593025595601233 and parameters: {'x': 2.1326387032340155}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,539] Trial 20 finished with value: 13.75493998226831 and parameters: {'x': 5.708765290803438}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,544] Trial 21 finished with value: 0.0324044593574028 and parameters: {'x': 2.180012386677703}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,551] Trial 22 finished with value: 0.2799815981104452 and parameters: {'x': 2.529132873775997}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,557] Trial 23 finished with value: 6.892457284098662 and parameters: {'x': 4.625348983297013}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,562] Trial 24 finished with value: 0.5946731575193415 and parameters: {'x': 2.7711505414115596}. Best is trial 19 with value: 0.017593025595601233.\n[I 2023-11-01 05:06:41,568] Trial 25 finished with value: 0.002383933973042147 and parameters: {'x': 2.0488255463158596}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,573] Trial 26 finished with value: 10.321468717987454 and parameters: {'x': 5.212704268678873}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,578] Trial 27 finished with value: 8.200925923426908 and parameters: {'x': -0.863725881334823}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,584] Trial 28 finished with value: 6.728504036612934 and parameters: {'x': 4.5939360124361075}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,589] Trial 29 finished with value: 0.5098867441859787 and parameters: {'x': 1.2859364564788518}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,595] Trial 30 finished with value: 0.006562017312186087 and parameters: {'x': 1.9189937205385528}. Best is trial 25 with value: 0.002383933973042147.\n[I 2023-11-01 05:06:41,605] Trial 31 finished with value: 0.0001226659335875051 and parameters: {'x': 2.0110754653892062}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,611] Trial 32 finished with value: 2.439362452888159 and parameters: {'x': 3.5618458479914588}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,616] Trial 33 finished with value: 0.9993855503413831 and parameters: {'x': 1.000307272037361}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,622] Trial 34 finished with value: 0.8696380063458535 and parameters: {'x': 2.9325438361524103}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,627] Trial 35 finished with value: 3.561771532722575 and parameters: {'x': 0.11273437674433984}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,633] Trial 36 finished with value: 5.35576093490798 and parameters: {'x': 4.314251700854507}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,639] Trial 37 finished with value: 0.012106698961882111 and parameters: {'x': 1.8899695543866057}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,645] Trial 38 finished with value: 2.9566702472418362 and parameters: {'x': 0.28050290862652627}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,651] Trial 39 finished with value: 12.527627956065485 and parameters: {'x': -1.5394389323825726}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,656] Trial 40 finished with value: 18.26007204500583 and parameters: {'x': 6.273180553756865}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,663] Trial 41 finished with value: 0.07333451174631345 and parameters: {'x': 2.270803455934952}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,669] Trial 42 finished with value: 0.3370695963098634 and parameters: {'x': 1.4194230487610937}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,674] Trial 43 finished with value: 0.007043420039550861 and parameters: {'x': 1.9160749141224696}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,680] Trial 44 finished with value: 1.0369484497784436 and parameters: {'x': 3.018306658025196}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,685] Trial 45 finished with value: 3.1438828685208584 and parameters: {'x': 0.22690020909119202}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,690] Trial 46 finished with value: 0.04424418399911737 and parameters: {'x': 1.789656984905328}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,696] Trial 47 finished with value: 4.224274304745287 and parameters: {'x': 4.055303944613859}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,701] Trial 48 finished with value: 1.662546666019707 and parameters: {'x': 0.7106022079979712}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,707] Trial 49 finished with value: 0.23836406378318714 and parameters: {'x': 1.511774576877456}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,713] Trial 50 finished with value: 1.996358512990163 and parameters: {'x': 3.4129255157262053}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,718] Trial 51 finished with value: 0.008293367293779946 and parameters: {'x': 2.0910679268116934}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,724] Trial 52 finished with value: 0.054407393508759325 and parameters: {'x': 1.7667460750410418}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,729] Trial 53 finished with value: 1.0789553802698728 and parameters: {'x': 3.0387277700484727}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,735] Trial 54 finished with value: 5.797567883741771 and parameters: {'x': -0.40781392215880574}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,740] Trial 55 finished with value: 1.8227197884896447 and parameters: {'x': 0.649918599309788}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,746] Trial 56 finished with value: 0.20917062459394667 and parameters: {'x': 2.4573517514932535}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,751] Trial 57 finished with value: 3.3520659317685513 and parameters: {'x': 3.830864804339346}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,757] Trial 58 finished with value: 0.5885917521669437 and parameters: {'x': 1.2328026641294016}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,763] Trial 59 finished with value: 0.005647811906675764 and parameters: {'x': 1.9248480744978829}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,770] Trial 60 finished with value: 9.192530791359042 and parameters: {'x': 5.031918665030288}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,776] Trial 61 finished with value: 0.00033652505446660094 and parameters: {'x': 1.9816553807761894}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,781] Trial 62 finished with value: 0.3249458424816528 and parameters: {'x': 2.5700402112848293}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,787] Trial 63 finished with value: 1.665921293464379 and parameters: {'x': 3.2907057346523176}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,793] Trial 64 finished with value: 1.2181518266314968 and parameters: {'x': 0.8963008441466049}. Best is trial 31 with value: 0.0001226659335875051.\n[I 2023-11-01 05:06:41,798] Trial 65 finished with value: 8.332890706068021e-05 and parameters: {'x': 2.0091284668515956}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,804] Trial 66 finished with value: 4.398936757898378 and parameters: {'x': 4.097364240635941}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,810] Trial 67 finished with value: 5.398035885013609 and parameters: {'x': -0.3233673590316295}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,815] Trial 68 finished with value: 0.48908959501817206 and parameters: {'x': 2.699349408391951}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,821] Trial 69 finished with value: 0.04213416579018197 and parameters: {'x': 1.7947339146615253}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,827] Trial 70 finished with value: 1.8630875395317317 and parameters: {'x': 0.6350503527485962}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,832] Trial 71 finished with value: 0.05015684025561348 and parameters: {'x': 2.223957228629963}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,838] Trial 72 finished with value: 2.3512923381591375 and parameters: {'x': 3.5333924279711106}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,844] Trial 73 finished with value: 0.4323570033491952 and parameters: {'x': 1.3424614054299207}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,850] Trial 74 finished with value: 0.003532144931193252 and parameters: {'x': 1.940568148849348}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,856] Trial 75 finished with value: 0.7154786652009347 and parameters: {'x': 2.8458597195758495}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,861] Trial 76 finished with value: 0.611505587237478 and parameters: {'x': 1.218011772954683}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,869] Trial 77 finished with value: 2.38168262539457 and parameters: {'x': 0.45672989227595995}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,875] Trial 78 finished with value: 0.030061302793220664 and parameters: {'x': 1.8266180436342332}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,881] Trial 79 finished with value: 1.4627501631759523 and parameters: {'x': 3.2094420875659786}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,887] Trial 80 finished with value: 5.463382638961274 and parameters: {'x': 4.337387994955325}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,892] Trial 81 finished with value: 0.029204587496343363 and parameters: {'x': 2.1708934975250473}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,898] Trial 82 finished with value: 0.29485386723328566 and parameters: {'x': 2.54300448178011}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,904] Trial 83 finished with value: 0.09787047095274662 and parameters: {'x': 1.6871574342376878}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,910] Trial 84 finished with value: 0.5620977367800069 and parameters: {'x': 1.2502682234425389}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,916] Trial 85 finished with value: 0.0006740077889927713 and parameters: {'x': 2.0259616599814567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,922] Trial 86 finished with value: 2.600821427774854 and parameters: {'x': 3.6127062434847996}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,929] Trial 87 finished with value: 1.4370112674709399 and parameters: {'x': 0.8012459520523236}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,935] Trial 88 finished with value: 4.65174677004284 and parameters: {'x': -0.15679084986070002}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,941] Trial 89 finished with value: 0.8916358452507899 and parameters: {'x': 2.944264711429369}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,946] Trial 90 finished with value: 0.09380541646974541 and parameters: {'x': 2.306276699194936}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,952] Trial 91 finished with value: 0.0004360128409876972 and parameters: {'x': 1.9791190794985543}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,958] Trial 92 finished with value: 0.08473387966428424 and parameters: {'x': 1.7089091556501919}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,964] Trial 93 finished with value: 2.6861071563263823 and parameters: {'x': 0.36106523731834206}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,972] Trial 94 finished with value: 0.7109306151205141 and parameters: {'x': 1.1568329850376533}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,979] Trial 95 finished with value: 0.40043294906817223 and parameters: {'x': 2.6327977157577074}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,988] Trial 96 finished with value: 1.3766554298460287 and parameters: {'x': 3.173309605281585}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:41,996] Trial 97 finished with value: 0.012492673829150253 and parameters: {'x': 2.111770630440873}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,004] Trial 98 finished with value: 3.3079530712906715 and parameters: {'x': 0.18122209401733946}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,011] Trial 99 finished with value: 3.167138241057021 and parameters: {'x': 3.779645538037567}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,036] Trial 100 finished with value: 1.147375032679114 and parameters: {'x': 0.9288440670569416}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,042] Trial 101 finished with value: 0.0029999958610137873 and parameters: {'x': 2.0547722179669017}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,047] Trial 102 finished with value: 0.33163969212542177 and parameters: {'x': 1.4241183349633175}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,053] Trial 103 finished with value: 0.013378689296701659 and parameters: {'x': 1.8843337158170037}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,059] Trial 104 finished with value: 0.34512512678763385 and parameters: {'x': 2.5874735115625502}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,065] Trial 105 finished with value: 0.2964154704156261 and parameters: {'x': 1.4555594886347765}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,071] Trial 106 finished with value: 1.5103374989564438 and parameters: {'x': 3.22895789144968}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,077] Trial 107 finished with value: 0.02722973382208911 and parameters: {'x': 2.1650143442919103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,083] Trial 108 finished with value: 0.684157102713367 and parameters: {'x': 2.8271378982451276}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,089] Trial 109 finished with value: 1.0839080626973558 and parameters: {'x': 0.9588909458191444}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,096] Trial 110 finished with value: 0.0006429348703999686 and parameters: {'x': 1.9746438395966588}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,101] Trial 111 finished with value: 0.1241235682237963 and parameters: {'x': 1.6476882513684843}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,107] Trial 112 finished with value: 0.6585171919462157 and parameters: {'x': 2.811490722033355}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,113] Trial 113 finished with value: 0.08416671556217023 and parameters: {'x': 2.2901150040280065}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,118] Trial 114 finished with value: 1.7288819534599642 and parameters: {'x': 0.6851304424164486}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,124] Trial 115 finished with value: 0.017905109938626044 and parameters: {'x': 1.8661900230228476}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,130] Trial 116 finished with value: 0.16954399870633038 and parameters: {'x': 2.411757208444892}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,135] Trial 117 finished with value: 1.9633232152867248 and parameters: {'x': 3.401186359941719}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,141] Trial 118 finished with value: 0.2388618183357671 and parameters: {'x': 1.5112650837767296}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,147] Trial 119 finished with value: 0.8053163846510186 and parameters: {'x': 1.1026057808014258}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,152] Trial 120 finished with value: 3.2784319413174883 and parameters: {'x': 3.8106440680922047}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,158] Trial 121 finished with value: 0.00010995156327283985 and parameters: {'x': 1.9895142209029162}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,163] Trial 122 finished with value: 0.003592442921365553 and parameters: {'x': 2.059936991260536}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,169] Trial 123 finished with value: 0.008177245467850243 and parameters: {'x': 2.0904281232131368}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,176] Trial 124 finished with value: 0.7954519227012031 and parameters: {'x': 2.8918811146678705}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,182] Trial 125 finished with value: 2.177443318166749 and parameters: {'x': 0.5243837496941324}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,188] Trial 126 finished with value: 0.20111036023234524 and parameters: {'x': 1.5515467022840113}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,194] Trial 127 finished with value: 0.13201715667643105 and parameters: {'x': 2.3633416528233875}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,200] Trial 128 finished with value: 1.3453840114837854 and parameters: {'x': 3.1599068977654134}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,207] Trial 129 finished with value: 0.0069997044013133764 and parameters: {'x': 1.916335763905278}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,213] Trial 130 finished with value: 3.8085842865546 and parameters: {'x': 0.04844055008447157}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,219] Trial 131 finished with value: 0.0035851687887877505 and parameters: {'x': 1.940123720984118}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,225] Trial 132 finished with value: 0.7085052581988266 and parameters: {'x': 1.1582724560768927}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,230] Trial 133 finished with value: 0.4082652593195365 and parameters: {'x': 2.6389563829554694}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,237] Trial 134 finished with value: 0.004100813313142401 and parameters: {'x': 1.935962407031944}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,243] Trial 135 finished with value: 0.23468933520717844 and parameters: {'x': 1.5155525464953103}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,248] Trial 136 finished with value: 0.06163539122948382 and parameters: {'x': 2.2482647603456516}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,254] Trial 137 finished with value: 1.113203460488497 and parameters: {'x': 0.9449154249594505}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,261] Trial 138 finished with value: 0.018229015025298487 and parameters: {'x': 1.864985130354844}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,267] Trial 139 finished with value: 0.3122145435334134 and parameters: {'x': 2.5587616160165383}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,273] Trial 140 finished with value: 2.0040162042466516 and parameters: {'x': 3.4156327928692}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,279] Trial 141 finished with value: 0.3866843327864326 and parameters: {'x': 1.378160524904994}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,286] Trial 142 finished with value: 0.0003880058641666961 and parameters: {'x': 2.019697864457009}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,292] Trial 143 finished with value: 0.0011091906996934802 and parameters: {'x': 2.0333045147043682}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,298] Trial 144 finished with value: 0.7372169392725111 and parameters: {'x': 2.858613381722246}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,304] Trial 145 finished with value: 0.1611319574085882 and parameters: {'x': 2.4014124529814542}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,312] Trial 146 finished with value: 2.090796762119676 and parameters: {'x': 0.5540412308368969}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,319] Trial 147 finished with value: 0.000767168161718416 and parameters: {'x': 2.0276978006657282}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,324] Trial 148 finished with value: 1.0396918271278044 and parameters: {'x': 3.019652797342215}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,331] Trial 149 finished with value: 0.6520570045635777 and parameters: {'x': 1.1924995327781056}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,336] Trial 150 finished with value: 0.27449429046717777 and parameters: {'x': 1.4760779729127838}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,343] Trial 151 finished with value: 0.008982086695869557 and parameters: {'x': 2.0947738713774506}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,349] Trial 152 finished with value: 0.0296026986135257 and parameters: {'x': 1.8279456521516364}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,355] Trial 153 finished with value: 0.2561782234784892 and parameters: {'x': 2.5061405175230385}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,361] Trial 154 finished with value: 0.02123621313112632 and parameters: {'x': 2.1457265011284026}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,368] Trial 155 finished with value: 1.1688640014086218 and parameters: {'x': 0.9188598604211284}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,373] Trial 156 finished with value: 0.1781217056794595 and parameters: {'x': 1.577955327388842}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,379] Trial 157 finished with value: 0.530142454988342 and parameters: {'x': 2.7281088208422846}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,385] Trial 158 finished with value: 0.02543129710359975 and parameters: {'x': 1.8405280679755847}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,391] Trial 159 finished with value: 1.462201284443736 and parameters: {'x': 3.20921515225527}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,397] Trial 160 finished with value: 4.531134621457266 and parameters: {'x': 4.128646194523004}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,404] Trial 161 finished with value: 0.006742135222266989 and parameters: {'x': 2.0821105061625307}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,410] Trial 162 finished with value: 0.15096310580645061 and parameters: {'x': 2.3885397094332195}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,417] Trial 163 finished with value: 0.17287921085535402 and parameters: {'x': 1.5842125412481107}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,424] Trial 164 finished with value: 0.835178419957206 and parameters: {'x': 1.0861190340327653}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,430] Trial 165 finished with value: 0.0024984887770512524 and parameters: {'x': 1.9500151145139728}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,436] Trial 166 finished with value: 0.6168021920915975 and parameters: {'x': 2.7853675522273615}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,443] Trial 167 finished with value: 0.00019256384984347587 and parameters: {'x': 1.98612326227662}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,450] Trial 168 finished with value: 2.7729914231478614 and parameters: {'x': 3.6652301411960635}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,456] Trial 169 finished with value: 1.9632378190303894 and parameters: {'x': 0.5988441132299414}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,462] Trial 170 finished with value: 0.6078557213922307 and parameters: {'x': 1.2203489746096459}. Best is trial 65 with value: 8.332890706068021e-05.\n[I 2023-11-01 05:06:42,468] Trial 171 finished with value: 7.136924761680954e-05 and parameters: {'x': 1.991551967825771}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,474] Trial 172 finished with value: 0.1262287478879417 and parameters: {'x': 2.355286852962422}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,480] Trial 173 finished with value: 0.06220753248306104 and parameters: {'x': 1.7505856209376431}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,486] Trial 174 finished with value: 0.35389046747153946 and parameters: {'x': 2.5948869367128005}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,493] Trial 175 finished with value: 0.010894254343969081 and parameters: {'x': 2.104375544760107}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,499] Trial 176 finished with value: 0.12555264329712928 and parameters: {'x': 1.6456659156994218}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,505] Trial 177 finished with value: 0.808503649170515 and parameters: {'x': 2.8991683097009786}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,511] Trial 178 finished with value: 0.5074496744122211 and parameters: {'x': 1.2876449800750884}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,517] Trial 179 finished with value: 0.13185326341628537 and parameters: {'x': 2.3631160467623062}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,525] Trial 180 finished with value: 0.0008602978069306027 and parameters: {'x': 2.0293308337237557}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,532] Trial 181 finished with value: 0.02881591034883235 and parameters: {'x': 1.8302475026727667}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,538] Trial 182 finished with value: 0.00014344963187906898 and parameters: {'x': 2.0119770460414523}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,545] Trial 183 finished with value: 0.25462973517838006 and parameters: {'x': 1.4953915030656142}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,551] Trial 184 finished with value: 1.4285639588632086 and parameters: {'x': 3.19522548452717}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,557] Trial 185 finished with value: 1.2909277310149958 and parameters: {'x': 0.863809993436399}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,563] Trial 186 finished with value: 0.09714417904368056 and parameters: {'x': 2.311679609605249}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,569] Trial 187 finished with value: 0.4122196699535677 and parameters: {'x': 2.642043355197737}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,575] Trial 188 finished with value: 0.3377519380841017 and parameters: {'x': 1.418835704740818}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,582] Trial 189 finished with value: 0.015068890702860905 and parameters: {'x': 1.877244589924269}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,588] Trial 190 finished with value: 0.013653450432188564 and parameters: {'x': 2.116847980009021}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,595] Trial 191 finished with value: 0.004837081780276263 and parameters: {'x': 2.069549132131726}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,601] Trial 192 finished with value: 0.2849913986057789 and parameters: {'x': 2.5338458565969946}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,607] Trial 193 finished with value: 0.13512488946055787 and parameters: {'x': 1.6324066248413094}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,613] Trial 194 finished with value: 1.0456551821027924 and parameters: {'x': 3.0225728248407506}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,619] Trial 195 finished with value: 0.5424972617254287 and parameters: {'x': 1.2634558657314359}. Best is trial 171 with value: 7.136924761680954e-05.\n[I 2023-11-01 05:06:42,625] Trial 196 finished with value: 3.142017029638187e-05 and parameters: {'x': 2.0056053697733853}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,631] Trial 197 finished with value: 1.3878919507113319 and parameters: {'x': 0.8219117389977388}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,639] Trial 198 finished with value: 0.1435450337259533 and parameters: {'x': 2.378873374263689}. Best is trial 196 with value: 3.142017029638187e-05.\n[I 2023-11-01 05:06:42,646] Trial 199 finished with value: 0.022491404076881015 and parameters: {'x': 1.850028655814249}. Best is trial 196 with value: 3.142017029638187e-05.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 20%] 001_first.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 40%] 002_configurations.py\n[I 2023-11-01 05:06:43,110] A new study created in memory with name: no-name-5a7a1f66-6db9-48bf-8aba-bb4e6de483fd\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-56a10e9c-81dc-4e71-bd05-451f66cba86f\n[I 2023-11-01 05:06:43,111] A new study created in memory with name: no-name-a835b13d-19ff-449b-bbe7-fdf932fd98fb\n[I 2023-11-01 05:06:43,151] A new study created in memory with name: no-name-35c1346d-2288-455f-83c9-0fed7a6d8803\n[I 2023-11-01 05:06:43,446] Trial 0 finished with value: 0.10526315789473684 and parameters: {'alpha': 0.0002508244777647596}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:43,736] Trial 1 finished with value: 0.39473684210526316 and parameters: {'alpha': 6.808288145579959e-05}. Best is trial 0 with value: 0.10526315789473684.\n[I 2023-11-01 05:06:44,007] Trial 2 finished with value: 0.07894736842105265 and parameters: {'alpha': 9.451932113931475e-05}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,287] Trial 3 finished with value: 0.23684210526315785 and parameters: {'alpha': 0.0008329987469189677}. Best is trial 2 with value: 0.07894736842105265.\n[I 2023-11-01 05:06:44,589] Trial 4 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0017303377445966413}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:44,595] Trial 5 pruned. \n[I 2023-11-01 05:06:44,886] Trial 6 pruned. \n[I 2023-11-01 05:06:45,217] Trial 7 finished with value: 0.07894736842105265 and parameters: {'alpha': 0.005451751842732417}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,223] Trial 8 pruned. \n[I 2023-11-01 05:06:45,228] Trial 9 pruned. \n[I 2023-11-01 05:06:45,239] Trial 10 pruned. \n[I 2023-11-01 05:06:45,249] Trial 11 pruned. \n[I 2023-11-01 05:06:45,556] Trial 12 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.0019086282486871589}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,567] Trial 13 pruned. \n[I 2023-11-01 05:06:45,578] Trial 14 pruned. \n[I 2023-11-01 05:06:45,588] Trial 15 pruned. \n[I 2023-11-01 05:06:45,899] Trial 16 finished with value: 0.02631578947368418 and parameters: {'alpha': 0.019009170714693373}. Best is trial 4 with value: 0.02631578947368418.\n[I 2023-11-01 05:06:45,911] Trial 17 pruned. \n[I 2023-11-01 05:06:45,922] Trial 18 pruned. \n[I 2023-11-01 05:06:45,932] Trial 19 pruned. \n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 60%] 003_efficient_optimization_algorithms.py\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [ 80%] 004_distributed.py\n[I 2023-11-01 05:06:46,376] A new study created in memory with name: no-name-3b6e5676-ab2f-4925-849c-e1345847d3e1\n[I 2023-11-01 05:06:46,418] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6247240713084175, 'bagging_freq': 7, 'min_child_samples': 75}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,522] Trial 1 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.759195090518222, 'bagging_freq': 2, 'min_child_samples': 19}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,556] Trial 2 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.4348501673009197, 'bagging_freq': 7, 'min_child_samples': 62}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:06:46,595] Trial 3 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8248435466776274, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,702] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.899465584480253, 'bagging_freq': 2, 'min_child_samples': 22}. Best is trial 3 with value: 0.9790209790209791.\n[I 2023-11-01 05:06:46,772] Trial 5 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.5100427059120604, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:46,787] Trial 6 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,809] Trial 7 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:46,830] Trial 8 pruned. Trial was pruned at iteration 14.\n[I 2023-11-01 05:06:46,867] Trial 9 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:46,915] Trial 10 pruned. Trial was pruned at iteration 28.\n[I 2023-11-01 05:06:46,948] Trial 11 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,035] Trial 12 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9733907188988407, 'bagging_freq': 1, 'min_child_samples': 98}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,072] Trial 13 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,114] Trial 14 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,149] Trial 15 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,183] Trial 16 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,221] Trial 17 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,333] Trial 18 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9905077333938093, 'bagging_freq': 2, 'min_child_samples': 54}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,366] Trial 19 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,398] Trial 20 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,483] Trial 21 pruned. Trial was pruned at iteration 70.\n[I 2023-11-01 05:06:47,519] Trial 22 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,555] Trial 23 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,592] Trial 24 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,783] Trial 25 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9539760625736883, 'bagging_freq': 1, 'min_child_samples': 5}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:47,818] Trial 26 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,856] Trial 27 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,892] Trial 28 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:06:47,929] Trial 29 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,964] Trial 30 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:47,998] Trial 31 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,040] Trial 32 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,079] Trial 33 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,115] Trial 34 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,152] Trial 35 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,188] Trial 36 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,224] Trial 37 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,269] Trial 38 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,305] Trial 39 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,350] Trial 40 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,393] Trial 41 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,434] Trial 42 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,495] Trial 43 pruned. Trial was pruned at iteration 18.\n[I 2023-11-01 05:06:48,605] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8823409487656904, 'bagging_freq': 1, 'min_child_samples': 48}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:48,643] Trial 45 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,683] Trial 46 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,723] Trial 47 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,762] Trial 48 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,802] Trial 49 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,839] Trial 50 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,877] Trial 51 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,918] Trial 52 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:48,962] Trial 53 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,005] Trial 54 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,136] Trial 55 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.973380947872035, 'bagging_freq': 2, 'min_child_samples': 39}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:49,179] Trial 56 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,221] Trial 57 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,262] Trial 58 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,300] Trial 59 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,341] Trial 60 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,388] Trial 61 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,432] Trial 62 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,469] Trial 63 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,508] Trial 64 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,550] Trial 65 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,592] Trial 66 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,632] Trial 67 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,676] Trial 68 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,721] Trial 69 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,767] Trial 70 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,806] Trial 71 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,845] Trial 72 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,891] Trial 73 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,936] Trial 74 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:49,994] Trial 75 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,053] Trial 76 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,101] Trial 77 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,144] Trial 78 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,189] Trial 79 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,229] Trial 80 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,278] Trial 81 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,437] Trial 82 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.8183457327801615, 'bagging_freq': 3, 'min_child_samples': 22}. Best is trial 5 with value: 0.993006993006993.\n[I 2023-11-01 05:06:50,482] Trial 83 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,524] Trial 84 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,569] Trial 85 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,614] Trial 86 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,653] Trial 87 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,702] Trial 88 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,747] Trial 89 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,787] Trial 90 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,837] Trial 91 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,878] Trial 92 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,927] Trial 93 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:50,977] Trial 94 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,020] Trial 95 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,068] Trial 96 pruned. Trial was pruned at iteration 21.\n[I 2023-11-01 05:06:51,112] Trial 97 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,154] Trial 98 pruned. Trial was pruned at iteration 10.\n[I 2023-11-01 05:06:51,196] Trial 99 pruned. Trial was pruned at iteration 10.\n\u001b[2Kgenerating gallery for tutorial/10_key_features... [100%] 005_visualization.py\n[I 2023-11-01 05:06:52,943] A new study created in RDB with name: example-study\n[I 2023-11-01 05:06:53,027] Trial 0 finished with value: 23.447286219971122 and parameters: {'x': 6.84223979372884}. Best is trial 0 with value: 23.447286219971122.\n[I 2023-11-01 05:06:53,081] Trial 1 finished with value: 13.57184822275515 and parameters: {'x': 5.683998944456302}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,130] Trial 2 finished with value: 16.821003496459884 and parameters: {'x': 6.101341670290331}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,174] Using an existing study with name 'example-study' instead of creating a new one.\n[I 2023-11-01 05:06:53,254] Trial 3 finished with value: 112.4283696077913 and parameters: {'x': -8.603224491058901}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,306] Trial 4 finished with value: 49.10820865830056 and parameters: {'x': -5.007724927414072}. Best is trial 1 with value: 13.57184822275515.\n[I 2023-11-01 05:06:53,359] Trial 5 finished with value: 7.011359018822607 and parameters: {'x': -0.6478970936995658}. Best is trial 5 with value: 7.011359018822607.\n[I 2023-11-01 05:06:53,403] Using an existing study with name 'example-study' instead of creating a new one.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 8%] 001_rdb.py\n[I 2023-11-01 05:06:54,332] A new study created in memory with name: no-name-7af9d90c-9ef8-454d-a434-07a03322de31\n[I 2023-11-01 05:07:06,898] Trial 0 finished with values: [76224.0, 0.59375] and parameters: {'n_layers': 1, 'n_units_l0': 96, 'dropout_0': 0.25733888703721564, 'lr': 3.0223642095031352e-05}. \n[I 2023-11-01 05:07:13,953] Trial 1 finished with values: [31247.0, 0.6890625] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.4341398614103612, 'n_units_l1': 125, 'dropout_1': 0.2791360160838666, 'lr': 0.00038268617271110646}. \n[I 2023-11-01 05:07:21,118] Trial 2 finished with values: [28328.0, 0.76484375] and parameters: {'n_layers': 3, 'n_units_l0': 28, 'dropout_0': 0.2746430908497238, 'n_units_l1': 118, 'dropout_1': 0.21243633975837345, 'n_units_l2': 24, 'dropout_2': 0.3770560956304744, 'lr': 0.003101371079304843}. \n[I 2023-11-01 05:07:28,315] Trial 3 finished with values: [44998.0, 0.57109375] and parameters: {'n_layers': 2, 'n_units_l0': 48, 'dropout_0': 0.38551658167368974, 'n_units_l1': 127, 'dropout_1': 0.4732874091078886, 'lr': 0.04035652026579389}. \n[I 2023-11-01 05:07:35,668] Trial 4 finished with values: [114930.0, 0.51328125] and parameters: {'n_layers': 3, 'n_units_l0': 120, 'dropout_0': 0.31461615456914355, 'n_units_l1': 95, 'dropout_1': 0.33383923913591085, 'n_units_l2': 90, 'dropout_2': 0.22508476546280012, 'lr': 0.036468518813819815}. \n[I 2023-11-01 05:07:42,692] Trial 5 finished with values: [101632.0, 0.83984375] and parameters: {'n_layers': 1, 'n_units_l0': 128, 'dropout_0': 0.3809787835038041, 'lr': 0.002463326857184871}. \n[I 2023-11-01 05:07:49,706] Trial 6 finished with values: [92898.0, 0.84609375] and parameters: {'n_layers': 1, 'n_units_l0': 117, 'dropout_0': 0.4486066510124712, 'lr': 0.0047467805649411}. \n[I 2023-11-01 05:07:56,652] Trial 7 finished with values: [29690.0, 0.53828125] and parameters: {'n_layers': 2, 'n_units_l0': 35, 'dropout_0': 0.3049976320521924, 'n_units_l1': 50, 'dropout_1': 0.42755196744832497, 'lr': 4.6294508353433405e-05}. \n[I 2023-11-01 05:08:03,836] Trial 8 finished with values: [100520.0, 0.8078125] and parameters: {'n_layers': 2, 'n_units_l0': 110, 'dropout_0': 0.25317680504721596, 'n_units_l1': 119, 'dropout_1': 0.2505667973902929, 'lr': 0.014046586297212263}. \n[I 2023-11-01 05:08:11,104] Trial 9 finished with values: [77517.0, 0.66640625] and parameters: {'n_layers': 3, 'n_units_l0': 78, 'dropout_0': 0.33076301829541666, 'n_units_l1': 125, 'dropout_1': 0.2551346282217414, 'n_units_l2': 49, 'dropout_2': 0.4937211686179993, 'lr': 0.0002604548809903621}. \n[I 2023-11-01 05:08:18,102] Trial 10 finished with values: [99250.0, 0.4328125] and parameters: {'n_layers': 1, 'n_units_l0': 125, 'dropout_0': 0.22387383346762751, 'lr': 1.0202300736918095e-05}. \n[I 2023-11-01 05:08:25,125] Trial 11 finished with values: [69663.0, 0.690625] and parameters: {'n_layers': 2, 'n_units_l0': 87, 'dropout_0': 0.40751903335681317, 'n_units_l1': 15, 'dropout_1': 0.3263429757477647, 'lr': 0.0003051207906300801}. \n[I 2023-11-01 05:08:32,102] Trial 12 finished with values: [45258.0, 0.7890625] and parameters: {'n_layers': 1, 'n_units_l0': 57, 'dropout_0': 0.2680849571908931, 'lr': 0.00048034288341022434}. \n[I 2023-11-01 05:08:39,258] Trial 13 finished with values: [69055.0, 0.78046875] and parameters: {'n_layers': 3, 'n_units_l0': 75, 'dropout_0': 0.2561276392583786, 'n_units_l1': 61, 'dropout_1': 0.4926511192889931, 'n_units_l2': 80, 'dropout_2': 0.3483740360394225, 'lr': 0.008237576352938565}. \n[I 2023-11-01 05:08:46,099] Trial 14 finished with values: [37318.0, 0.83125] and parameters: {'n_layers': 1, 'n_units_l0': 47, 'dropout_0': 0.4828360517551172, 'lr': 0.009431169942545113}. \n[I 2023-11-01 05:08:53,323] Trial 15 finished with values: [80123.0, 0.31484375] and parameters: {'n_layers': 2, 'n_units_l0': 99, 'dropout_0': 0.31868835747805624, 'n_units_l1': 23, 'dropout_1': 0.39580020035927377, 'lr': 0.07139558495620445}. \n[I 2023-11-01 05:09:00,246] Trial 16 finished with values: [51610.0, 0.6140625] and parameters: {'n_layers': 1, 'n_units_l0': 65, 'dropout_0': 0.22102149423447434, 'lr': 0.07125672560425499}. \n[I 2023-11-01 05:09:07,476] Trial 17 finished with values: [11630.0, 0.38203125] and parameters: {'n_layers': 3, 'n_units_l0': 11, 'dropout_0': 0.3309569005634048, 'n_units_l1': 31, 'dropout_1': 0.38203115475931115, 'n_units_l2': 65, 'dropout_2': 0.34754201364465376, 'lr': 0.019683411195722506}. \n[I 2023-11-01 05:09:14,362] Trial 18 finished with values: [81782.0, 0.70703125] and parameters: {'n_layers': 1, 'n_units_l0': 103, 'dropout_0': 0.3331630606595988, 'lr': 0.00010732187942040558}. \n[I 2023-11-01 05:09:21,494] Trial 19 finished with values: [108708.0, 0.20078125] and parameters: {'n_layers': 3, 'n_units_l0': 118, 'dropout_0': 0.44407223871438084, 'n_units_l1': 86, 'dropout_1': 0.44444612995160776, 'n_units_l2': 63, 'dropout_2': 0.26756625479292206, 'lr': 0.08247226355167189}. \n[I 2023-11-01 05:09:28,415] Trial 20 finished with values: [11880.0, 0.51875] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.3413217778873291, 'n_units_l1': 26, 'dropout_1': 0.3707991993265978, 'n_units_l2': 60, 'dropout_2': 0.43898496212795646, 'lr': 0.0003985255406813439}. \n[I 2023-11-01 05:09:35,495] Trial 21 finished with values: [64188.0, 0.7984375] and parameters: {'n_layers': 3, 'n_units_l0': 64, 'dropout_0': 0.23311968870615576, 'n_units_l1': 122, 'dropout_1': 0.3217855818472287, 'n_units_l2': 47, 'dropout_2': 0.3300464335713975, 'lr': 0.004030780175582505}. \n[I 2023-11-01 05:09:42,417] Trial 22 finished with values: [82880.0, 0.3703125] and parameters: {'n_layers': 2, 'n_units_l0': 98, 'dropout_0': 0.3797053797755924, 'n_units_l1': 56, 'dropout_1': 0.4937160703219694, 'lr': 1.62127855069063e-05}. \n[I 2023-11-01 05:09:49,335] Trial 23 finished with values: [23700.0, 0.7890625] and parameters: {'n_layers': 2, 'n_units_l0': 28, 'dropout_0': 0.22631704362055913, 'n_units_l1': 46, 'dropout_1': 0.2906625591685706, 'lr': 0.0015361714420694891}. \n[I 2023-11-01 05:09:56,250] Trial 24 finished with values: [11953.0, 0.41953125] and parameters: {'n_layers': 3, 'n_units_l0': 12, 'dropout_0': 0.46715464658984374, 'n_units_l1': 31, 'dropout_1': 0.3823362535396546, 'n_units_l2': 53, 'dropout_2': 0.4647643933160363, 'lr': 0.00014879630671272935}. \n[I 2023-11-01 05:10:03,073] Trial 25 finished with values: [21572.0, 0.775] and parameters: {'n_layers': 2, 'n_units_l0': 26, 'dropout_0': 0.2548656424149304, 'n_units_l1': 33, 'dropout_1': 0.29801371595162207, 'lr': 0.01159727195117955}. \n[I 2023-11-01 05:10:09,874] Trial 26 finished with values: [67490.0, 0.8171875] and parameters: {'n_layers': 1, 'n_units_l0': 85, 'dropout_0': 0.4692035968550705, 'lr': 0.0012360802468979974}. \n[I 2023-11-01 05:10:16,769] Trial 27 finished with values: [26775.0, 0.65703125] and parameters: {'n_layers': 2, 'n_units_l0': 33, 'dropout_0': 0.33393699536374455, 'n_units_l1': 21, 'dropout_1': 0.45788185006107746, 'lr': 0.0003069713065581492}. \n[I 2023-11-01 05:10:23,792] Trial 28 finished with values: [96074.0, 0.76484375] and parameters: {'n_layers': 1, 'n_units_l0': 121, 'dropout_0': 0.40558756746356184, 'lr': 0.0002453471601037613}. \n[I 2023-11-01 05:10:30,869] Trial 29 finished with values: [5696.0, 0.478125] and parameters: {'n_layers': 2, 'n_units_l0': 6, 'dropout_0': 0.3098744730324356, 'n_units_l1': 62, 'dropout_1': 0.4673088168442254, 'lr': 0.0001070989178124053}. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 17%] 002_multi_objective.py\n[I 2023-11-01 05:10:31,831] A new study created in RDB with name: no-name-59dbff7b-e5f6-482b-974c-5a1a8af09952\n[I 2023-11-01 05:10:31,999] Trial 0 finished with value: 0.019999999999999907 and parameters: {'svc_c': 9.452453176445061}. Best is trial 0 with value: 0.019999999999999907.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 25%] 003_attributes.py\n[I 2023-11-01 05:10:32,273] A new study created in memory with name: no-name-1e498018-a6ec-4513-b940-dc1b5ccaaa0a\n[I 2023-11-01 05:10:32,274] Trial 0 finished with value: 25.915230316552243 and parameters: {'x': 7.0907003758375176}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 1 finished with value: 58.014587827233804 and parameters: {'x': -5.616730783428925}. Best is trial 0 with value: 25.915230316552243.\n[I 2023-11-01 05:10:32,275] Trial 2 finished with value: 0.513221381133008 and parameters: {'x': 2.716394710430645}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,276] Trial 3 finished with value: 94.71056064945566 and parameters: {'x': -7.731935092747775}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 4 finished with value: 35.25598342741927 and parameters: {'x': -3.9376749176272074}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,277] Trial 5 finished with value: 25.95290680415889 and parameters: {'x': 7.094399552857912}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 6 finished with value: 2.788644533166135 and parameters: {'x': 0.3300764888276664}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,278] Trial 7 finished with value: 52.07774511920378 and parameters: {'x': -5.216491191652892}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,279] Trial 8 finished with value: 6.0424630578109655 and parameters: {'x': -0.4581421964180521}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,280] Trial 9 finished with value: 1.6515314353637947 and parameters: {'x': 0.714880769981324}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,286] Trial 10 finished with value: 50.04940121255442 and parameters: {'x': 9.074560142691164}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,292] Trial 11 finished with value: 0.5826440524998421 and parameters: {'x': 2.7633112422202637}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,297] Trial 12 finished with value: 3.726846365889009 and parameters: {'x': 3.930504174014915}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,302] Trial 13 finished with value: 1.2185582134429305 and parameters: {'x': 3.1038832426678695}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,308] Trial 14 finished with value: 139.288477283723 and parameters: {'x': -9.802053943433872}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,313] Trial 15 finished with value: 2.4194553515128536 and parameters: {'x': 3.555459852105754}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,319] Trial 16 finished with value: 15.706235849172673 and parameters: {'x': -1.9631093662896402}. Best is trial 2 with value: 0.513221381133008.\n[I 2023-11-01 05:10:32,325] Trial 17 finished with value: 0.18053115578382722 and parameters: {'x': 2.42488958069577}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,330] Trial 18 finished with value: 12.172740613475474 and parameters: {'x': 5.488945487317833}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,335] Trial 19 finished with value: 0.31941331206646834 and parameters: {'x': 1.4348333767228745}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,341] Trial 20 finished with value: 19.172908644526785 and parameters: {'x': -2.3786880049310186}. Best is trial 17 with value: 0.18053115578382722.\n[I 2023-11-01 05:10:32,346] Trial 21 finished with value: 0.021914773001275246 and parameters: {'x': 1.8519636091993754}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,352] Trial 22 finished with value: 0.31059922185370276 and parameters: {'x': 1.4426857063974559}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,360] Trial 23 finished with value: 10.291781864214203 and parameters: {'x': -1.208080713481848}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,366] Trial 24 finished with value: 0.6859351078548462 and parameters: {'x': 1.1717880054872145}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,371] Trial 25 finished with value: 0.08868403232011683 and parameters: {'x': 1.702201356080796}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,377] Trial 26 finished with value: 8.490981884631248 and parameters: {'x': 4.913928942961933}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,382] Trial 27 finished with value: 6.504657006047785 and parameters: {'x': -0.5504229072935698}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,388] Trial 28 finished with value: 0.20086572484190793 and parameters: {'x': 1.5518195398704804}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,393] Trial 29 finished with value: 0.04296889806378169 and parameters: {'x': 2.207289406540184}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,399] Trial 30 finished with value: 8.066345392759196 and parameters: {'x': 4.840131228087744}. Best is trial 21 with value: 0.021914773001275246.\n[I 2023-11-01 05:10:32,404] Trial 31 finished with value: 0.003019476771799735 and parameters: {'x': 2.0549497658939484}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,410] Trial 32 finished with value: 4.8097120981424 and parameters: {'x': -0.19310558299011227}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,415] Trial 33 finished with value: 0.03561395272950528 and parameters: {'x': 2.1887165936782065}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,421] Trial 34 finished with value: 3.9682511013490243 and parameters: {'x': 3.9920469626364294}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,427] Trial 35 finished with value: 0.16133409431323872 and parameters: {'x': 2.40166415612205}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,432] Trial 36 finished with value: 18.457967443236978 and parameters: {'x': 6.296273669499765}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,438] Trial 37 finished with value: 2.5510707213995683 and parameters: {'x': 0.4027928370434948}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,444] Trial 38 finished with value: 4.782932723166224 and parameters: {'x': 4.186991706240841}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,450] Trial 39 finished with value: 0.3436154546517257 and parameters: {'x': 2.5861872180896865}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,455] Trial 40 finished with value: 27.770357099759643 and parameters: {'x': -3.2697587325948465}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,461] Trial 41 finished with value: 0.016236497193991208 and parameters: {'x': 1.8725774855294748}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,468] Trial 42 finished with value: 2.356035645893576 and parameters: {'x': 0.46506168010125704}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,474] Trial 43 finished with value: 0.014904207118446476 and parameters: {'x': 2.122082787969666}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,480] Trial 44 finished with value: 2.490584902193526 and parameters: {'x': 3.578158706275616}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,486] Trial 45 finished with value: 1.0655572386156282 and parameters: {'x': 0.9677416802875219}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,491] Trial 46 finished with value: 0.9217239490934929 and parameters: {'x': 2.9600645546490574}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,497] Trial 47 finished with value: 4.17111434553502 and parameters: {'x': -0.042330616118511966}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,503] Trial 48 finished with value: 0.009705968616308095 and parameters: {'x': 2.098518874416571}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,509] Trial 49 finished with value: 8.868027136913227 and parameters: {'x': -0.9779232926509756}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,515] Trial 50 finished with value: 1.4230771442259422 and parameters: {'x': 3.1929279710971414}. Best is trial 31 with value: 0.003019476771799735.\n[I 2023-11-01 05:10:32,520] Trial 51 finished with value: 0.0019950342238028392 and parameters: {'x': 2.0446658059795504}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,526] Trial 52 finished with value: 1.9694071804401496 and parameters: {'x': 0.5966443143521492}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,532] Trial 53 finished with value: 0.05044466871673954 and parameters: {'x': 1.7754010936875704}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,537] Trial 54 finished with value: 0.8099853587088279 and parameters: {'x': 2.8999918659125914}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,543] Trial 55 finished with value: 3.097041017984251 and parameters: {'x': 3.7598411911261342}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,548] Trial 56 finished with value: 0.6639945927868676 and parameters: {'x': 1.1851413663788868}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,554] Trial 57 finished with value: 3.2516648986486167 and parameters: {'x': 0.19676266158649636}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,560] Trial 58 finished with value: 7.230126654701611 and parameters: {'x': 4.688889483541786}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,566] Trial 59 finished with value: 1.1804290117753942 and parameters: {'x': 0.9135245001494998}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,571] Trial 60 finished with value: 0.03683159459031074 and parameters: {'x': 1.8080844076415084}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,578] Trial 61 finished with value: 0.06990621876539176 and parameters: {'x': 2.264397841831948}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,584] Trial 62 finished with value: 0.0028181779856849983 and parameters: {'x': 2.0530865141602366}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,590] Trial 63 finished with value: 1.5101144543567797 and parameters: {'x': 3.228867142679297}. Best is trial 51 with value: 0.0019950342238028392.\n[I 2023-11-01 05:10:32,596] Trial 64 finished with value: 0.0014613723250412928 and parameters: {'x': 1.9617721001748554}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,602] Trial 65 finished with value: 1.4442420773647384 and parameters: {'x': 3.201766232411586}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,607] Trial 66 finished with value: 0.9755552288310754 and parameters: {'x': 1.0122980060610005}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,613] Trial 67 finished with value: 0.41081438773109186 and parameters: {'x': 2.640948038245763}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,619] Trial 68 finished with value: 0.09969678338466914 and parameters: {'x': 1.6842520255256272}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,624] Trial 69 finished with value: 6.516094133714949 and parameters: {'x': -0.552664124736145}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,630] Trial 70 finished with value: 5.280961681673593 and parameters: {'x': 4.298034308202032}. Best is trial 64 with value: 0.0014613723250412928.\n[I 2023-11-01 05:10:32,636] Trial 71 finished with value: 0.0003474556938231585 and parameters: {'x': 2.018640163460205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,642] Trial 72 finished with value: 0.001895599226087367 and parameters: {'x': 2.0435384798320677}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,647] Trial 73 finished with value: 2.320524355088325 and parameters: {'x': 3.523326739438498}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,653] Trial 74 finished with value: 0.1555044358955113 and parameters: {'x': 2.3943405075509125}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,659] Trial 75 finished with value: 0.42564719605890144 and parameters: {'x': 1.3475835715902753}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,665] Trial 76 finished with value: 1.6333142884369265 and parameters: {'x': 0.7219881501187375}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,670] Trial 77 finished with value: 0.8348897435859222 and parameters: {'x': 2.9137230125075773}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,676] Trial 78 finished with value: 0.0006539707099462197 and parameters: {'x': 2.0255728510328086}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,682] Trial 79 finished with value: 3.654837713968637 and parameters: {'x': 0.08823701417549223}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,688] Trial 80 finished with value: 0.4404293226039008 and parameters: {'x': 1.3363515067417837}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,696] Trial 81 finished with value: 0.04249185848358659 and parameters: {'x': 2.206135534257407}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,702] Trial 82 finished with value: 0.5485498930520999 and parameters: {'x': 2.7406415415382126}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,708] Trial 83 finished with value: 0.00608936716416255 and parameters: {'x': 1.9219656026859786}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,714] Trial 84 finished with value: 1.8200674434394324 and parameters: {'x': 0.6509012477066654}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,719] Trial 85 finished with value: 0.20442608027484807 and parameters: {'x': 1.5478649756158587}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,725] Trial 86 finished with value: 2.621039225179976 and parameters: {'x': 3.618962391527356}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,731] Trial 87 finished with value: 0.00933519634943961 and parameters: {'x': 2.096618819851205}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,737] Trial 88 finished with value: 0.19921259719678736 and parameters: {'x': 2.4463323842124693}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,743] Trial 89 finished with value: 0.9147911684570397 and parameters: {'x': 1.0435528407397303}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,749] Trial 90 finished with value: 0.01607726800132403 and parameters: {'x': 1.8732038328602791}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,755] Trial 91 finished with value: 0.0050703297970884674 and parameters: {'x': 2.0712062483008933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,760] Trial 92 finished with value: 0.7629464905939917 and parameters: {'x': 2.8734680821838836}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,766] Trial 93 finished with value: 0.4751017486675177 and parameters: {'x': 1.3107237501063034}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,772] Trial 94 finished with value: 2.2689435843738197 and parameters: {'x': 0.4936987073052683}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,778] Trial 95 finished with value: 1.9214402514401683 and parameters: {'x': 3.3861602546026806}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,784] Trial 96 finished with value: 0.000595729877721644 and parameters: {'x': 1.9755924217153433}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,791] Trial 97 finished with value: 4.768039901103679 and parameters: {'x': 4.183584186859687}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,798] Trial 98 finished with value: 0.4601887869514822 and parameters: {'x': 2.678372159622933}. Best is trial 71 with value: 0.0003474556938231585.\n[I 2023-11-01 05:10:32,804] Trial 99 finished with value: 0.2185772010167826 and parameters: {'x': 1.5324775930323953}. Best is trial 71 with value: 0.0003474556938231585.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 33%] 004_cli.py\n[I 2023-11-01 05:10:33,047] A new study created in memory with name: no-name-49c99a31-3bd2-4077-8b79-5d632190fc36\n[I 2023-11-01 05:10:33,048] Trial 0 finished with value: 41.37845656956571 and parameters: {'x': 6.729620359290152, 'y': -3.9093336106068053}. Best is trial 0 with value: 41.37845656956571.\n[I 2023-11-01 05:10:33,049] Trial 1 finished with value: 29.05339369170658 and parameters: {'x': 5.766346297724699, 'y': -4.197355933576759}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,050] Trial 2 finished with value: 48.93717865485316 and parameters: {'x': 7.241482827766296, 'y': -3.501894889980991}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,051] Trial 3 finished with value: 38.524946283521885 and parameters: {'x': 6.522850992699908, 'y': -4.02263878944429}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,052] Trial 4 finished with value: 69.04638359592593 and parameters: {'x': 8.515714168907225, 'y': -3.4710042106013317}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,053] Trial 5 finished with value: 58.013597310991415 and parameters: {'x': 7.882299430705022, 'y': -4.1170470043012894}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,054] Trial 6 finished with value: 33.12804532546675 and parameters: {'x': 6.033274416772244, 'y': -3.2723548626117056}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,055] Trial 7 finished with value: 60.56855058695385 and parameters: {'x': 7.971907176289005, 'y': -2.982753440414283}. Best is trial 1 with value: 29.05339369170658.\n[I 2023-11-01 05:10:33,057] Trial 8 finished with value: 19.518682554337268 and parameters: {'x': 4.869340404250671, 'y': -4.1917934181308265}. Best is trial 8 with value: 19.518682554337268.\n[I 2023-11-01 05:10:33,058] Trial 9 finished with value: 7.562878063472277 and parameters: {'x': 3.342354398609741, 'y': -3.6084548624336064}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,060] Trial 10 finished with value: 9.32177726966869 and parameters: {'x': 3.7316855463895746, 'y': -4.603699747464167}. Best is trial 9 with value: 7.562878063472277.\n[I 2023-11-01 05:10:33,062] Trial 11 finished with value: -1.023073759821524 and parameters: {'x': 1.8118931398330465, 'y': -4.30603050999558}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,063] Trial 12 finished with value: 5.868438133987599 and parameters: {'x': 3.167852733127188, 'y': -4.1668528047937965}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,065] Trial 13 finished with value: 5.989918006369679 and parameters: {'x': 3.2839112090943257, 'y': -4.794154822845677}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,067] Trial 14 finished with value: 23.058737733410005 and parameters: {'x': 5.22913441157538, 'y': -4.285108960911793}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,069] Trial 15 finished with value: 12.407113233505818 and parameters: {'x': 4.139725915466551, 'y': -4.730217421679554}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,071] Trial 16 finished with value: 15.138300006499254 and parameters: {'x': 4.449995999918412, 'y': -4.664164392790618}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,072] Trial 17 finished with value: 24.23264134893212 and parameters: {'x': 5.401867859892334, 'y': -4.947535026805671}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,074] Trial 18 finished with value: 18.093797019147573 and parameters: {'x': 4.708707365060068, 'y': -4.078128030623354}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,077] Trial 19 finished with value: 12.725060441864734 and parameters: {'x': 4.03571614717236, 'y': -3.5619443786829885}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,079] Trial 20 finished with value: 20.22905363336897 and parameters: {'x': 4.914224867889226, 'y': -3.920552418811911}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,081] Trial 21 finished with value: 30.723189102153103 and parameters: {'x': 5.872462411949654, 'y': -3.7626256776084377}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,083] Trial 22 finished with value: 24.226416937548827 and parameters: {'x': 5.3973751010426465, 'y': -4.90524104380629}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,085] Trial 23 finished with value: 8.697185967180001 and parameters: {'x': 3.5641032905249483, 'y': -4.005646298350763}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,087] Trial 24 finished with value: 3.8839223900442907 and parameters: {'x': 2.6263891050665245, 'y': -3.013997341167849}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,090] Trial 25 finished with value: 1.3311230853312606 and parameters: {'x': 1.9304728609319197, 'y': -2.3956023814634104}. Best is trial 11 with value: -1.023073759821524.\n[I 2023-11-01 05:10:33,092] Trial 26 finished with value: -1.697196252797666 and parameters: {'x': 0.4372946670414646, 'y': -1.8884228786205715}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,095] Trial 27 finished with value: 0.13348514499652198 and parameters: {'x': 1.3491542733786577, 'y': -1.6867321083793718}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,097] Trial 28 finished with value: 1.9466417470556274 and parameters: {'x': 1.9314311193388154, 'y': -1.7837844216947618}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,100] Trial 29 finished with value: 1.4343631754755488 and parameters: {'x': 1.640538404015498, 'y': -1.2570030795741685}. Best is trial 26 with value: -1.697196252797666.\n[I 2023-11-01 05:10:33,103] Trial 30 finished with value: -2.0763435037143942 and parameters: {'x': 0.3666552297763015, 'y': -2.2107795612367065}. Best is trial 30 with value: -2.0763435037143942.\n[I 2023-11-01 05:10:33,106] Trial 31 finished with value: -2.2031476703024317 and parameters: {'x': -0.2722549505762746, 'y': -2.2772704284157212}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,109] Trial 32 finished with value: -1.1658052313979312 and parameters: {'x': -0.7491627819771978, 'y': -1.7270501052977456}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,113] Trial 33 finished with value: -1.121826924352579 and parameters: {'x': 0.9805680116197317, 'y': -2.0833405497644533}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,116] Trial 34 finished with value: -0.9707139714982231 and parameters: {'x': 1.4205570818206459, 'y': -2.9886963942090126}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,119] Trial 35 finished with value: -2.1913572120784193 and parameters: {'x': -0.10064969439449456, 'y': -2.2014875730601244}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,122] Trial 36 finished with value: -0.7482831977890227 and parameters: {'x': 1.1357361963441703, 'y': -2.0381799054753467}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,125] Trial 37 finished with value: 5.0279412971424815 and parameters: {'x': 2.665594229384823, 'y': -2.077451298587188}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,128] Trial 38 finished with value: -1.3752688565759872 and parameters: {'x': -0.4808267701030928, 'y': -1.6064632394237597}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,131] Trial 39 finished with value: -1.620583907905104 and parameters: {'x': 0.9559680805177044, 'y': -2.5344588788738083}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,135] Trial 40 finished with value: -2.0380175799665934 and parameters: {'x': 1.009721002781812, 'y': -3.0575540834253014}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,138] Trial 41 finished with value: 2.1544342280763704 and parameters: {'x': 2.293299667977895, 'y': -3.104789139071153}. Best is trial 31 with value: -2.2031476703024317.\n[I 2023-11-01 05:10:33,142] Trial 42 finished with value: -2.6414167834056133 and parameters: {'x': 0.5204636971265413, 'y': -2.9122992434322414}. Best is trial 42 with value: -2.6414167834056133.\n[I 2023-11-01 05:10:33,146] Trial 43 finished with value: -2.9947741612037304 and parameters: {'x': -0.5027665911332924, 'y': -3.2475484063635216}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,150] Trial 44 finished with value: -1.6940559808068447 and parameters: {'x': -1.0113698566922333, 'y': -2.7169249678325134}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,153] Trial 45 finished with value: 3.200773892829993 and parameters: {'x': -2.456911006807861, 'y': -2.835637802543623}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,157] Trial 46 finished with value: -1.961753910831446 and parameters: {'x': 1.2544277298278508, 'y': -3.5353428401925013}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,161] Trial 47 finished with value: -1.2755967580659513 and parameters: {'x': -1.2990721291273348, 'y': -2.963185154741378}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,165] Trial 48 finished with value: 2.6245205063598998 and parameters: {'x': -2.251501028048538, 'y': -2.4447363729437233}. Best is trial 43 with value: -2.9947741612037304.\n[I 2023-11-01 05:10:33,169] Trial 49 finished with value: -3.5204979954283475 and parameters: {'x': 0.8441087162191998, 'y': -4.233017520225573}. Best is trial 49 with value: -3.5204979954283475.\n[I 2023-11-01 05:10:33,173] Trial 50 finished with value: -4.161201005770976 and parameters: {'x': -0.1603343006871687, 'y': -4.186908093747819}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,177] Trial 51 finished with value: -1.1334106445419447 and parameters: {'x': -1.7841457941999992, 'y': -4.316586859503491}. Best is trial 50 with value: -4.161201005770976.\n[I 2023-11-01 05:10:33,181] Trial 52 finished with value: -4.428713369586269 and parameters: {'x': -0.26245185550107264, 'y': -4.497594346042225}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,185] Trial 53 finished with value: -3.9851105945948437 and parameters: {'x': 0.33411231319181045, 'y': -4.096741632421226}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,190] Trial 54 finished with value: -4.00365095452416 and parameters: {'x': 0.7702194095864883, 'y': -4.596888893427918}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,194] Trial 55 finished with value: 1.2098640497183766 and parameters: {'x': 2.249958553353035, 'y': -3.852449442088105}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,199] Trial 56 finished with value: 1.1055999187482746 and parameters: {'x': 2.3667847596100735, 'y': -4.496070179574239}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,204] Trial 57 finished with value: -4.070529136868445 and parameters: {'x': -0.8147534715685896, 'y': -4.734352356301514}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,209] Trial 58 finished with value: -3.1395313702816754 and parameters: {'x': -0.8657011162159027, 'y': -3.888969792899135}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,214] Trial 59 finished with value: -4.379864863778126 and parameters: {'x': 0.04449088253255562, 'y': -4.381844302406652}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,220] Trial 60 finished with value: -3.9729940006180393 and parameters: {'x': 0.29654858192991185, 'y': -4.060935062062681}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,225] Trial 61 finished with value: -3.4088169787720104 and parameters: {'x': -0.3371500105653298, 'y': -3.5224871083962124}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,231] Trial 62 finished with value: -2.751305545312304 and parameters: {'x': -1.2281833185608875, 'y': -4.259739809303539}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,236] Trial 63 finished with value: -1.0526860598448629 and parameters: {'x': 1.6696524477922003, 'y': -3.8404253562633492}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,240] Trial 64 finished with value: -3.358970226485784 and parameters: {'x': -0.9055088918456997, 'y': -4.178916579697411}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,246] Trial 65 finished with value: -3.3619109342180495 and parameters: {'x': 1.1084017090449643, 'y': -4.590465282831847}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,251] Trial 66 finished with value: -0.7783477619583343 and parameters: {'x': -1.826012990364967, 'y': -4.112671202939943}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,256] Trial 67 finished with value: -3.9595177162741786 and parameters: {'x': 0.08103529105356477, 'y': -3.9660844346703144}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,261] Trial 68 finished with value: 0.659578210699451 and parameters: {'x': 2.036284153548783, 'y': -3.4868749432944317}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,267] Trial 69 finished with value: -4.273286857436882 and parameters: {'x': 0.4642275772611253, 'y': -4.488794100926616}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,272] Trial 70 finished with value: -0.825521339427147 and parameters: {'x': -1.738878245292986, 'y': -3.849218891380361}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,278] Trial 71 finished with value: -3.557207794569008 and parameters: {'x': -0.35466645560120247, 'y': -3.6829960892977276}. Best is trial 52 with value: -4.428713369586269.\n[I 2023-11-01 05:10:33,284] Trial 72 finished with value: -4.8626913893245485 and parameters: {'x': 0.12374626755358165, 'y': -4.878004528057991}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,289] Trial 73 finished with value: -3.776021373032594 and parameters: {'x': -0.5723672241253501, 'y': -4.103625612285553}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,295] Trial 74 finished with value: -4.247822801644699 and parameters: {'x': 0.0919356912571172, 'y': -4.256274972971624}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,301] Trial 75 finished with value: -1.4515571970916987 and parameters: {'x': -1.727942336946053, 'y': -4.437341916902286}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,306] Trial 76 finished with value: -1.7451724658866365 and parameters: {'x': 1.7745115121960802, 'y': -4.894063572803056}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,312] Trial 77 finished with value: -4.368258767815302 and parameters: {'x': 0.7646978682634571, 'y': -4.953021597541977}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,318] Trial 78 finished with value: -4.429956393698919 and parameters: {'x': -0.392445191564172, 'y': -4.583969622080758}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,326] Trial 79 finished with value: -0.6671794118138257 and parameters: {'x': 2.056124884064691, 'y': -4.8948289506838645}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,332] Trial 80 finished with value: -4.1979420843591155 and parameters: {'x': 0.5814042189090425, 'y': -4.535972950124349}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,338] Trial 81 finished with value: -2.7015594207742124 and parameters: {'x': -1.2381195607112745, 'y': -4.2344994673900915}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,344] Trial 82 finished with value: -4.472118680968363 and parameters: {'x': -0.2053285335538857, 'y': -4.514278487659752}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,351] Trial 83 finished with value: -3.766445582748265 and parameters: {'x': 0.33702696757896433, 'y': -3.880032759623737}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,357] Trial 84 finished with value: -4.269742813418271 and parameters: {'x': 0.7778293646857541, 'y': -4.874761333985715}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,363] Trial 85 finished with value: -3.444109724991308 and parameters: {'x': 0.9936412074434431, 'y': -4.431432574120971}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,369] Trial 86 finished with value: -2.144497477421845 and parameters: {'x': -1.5622057612974518, 'y': -4.584984318052796}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,376] Trial 87 finished with value: -4.212192446309842 and parameters: {'x': 0.6411500715617855, 'y': -4.623265860573525}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,383] Trial 88 finished with value: -0.9663219369324261 and parameters: {'x': -1.8541975172742315, 'y': -4.40437036999835}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,390] Trial 89 finished with value: -3.6909509404056684 and parameters: {'x': -0.907494398803876, 'y': -4.514497024266077}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,397] Trial 90 finished with value: -3.429151084156727 and parameters: {'x': 1.0732778395969347, 'y': -4.58107640512659}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,404] Trial 91 finished with value: -3.8003154167910607 and parameters: {'x': 0.6291562009974503, 'y': -4.196152942044605}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,411] Trial 92 finished with value: -4.477530615647174 and parameters: {'x': 0.323910858322924, 'y': -4.582448859786667}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,418] Trial 93 finished with value: -4.62520487067022 and parameters: {'x': 0.500827831430624, 'y': -4.876033387405721}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,425] Trial 94 finished with value: -3.793752846715887 and parameters: {'x': 0.5490777515558682, 'y': -4.095239223969535}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,433] Trial 95 finished with value: -3.3994890936487927 and parameters: {'x': -1.186039180567282, 'y': -4.806178031489503}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,441] Trial 96 finished with value: -2.424307252277668 and parameters: {'x': -1.3892239896683383, 'y': -4.354250545747683}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,448] Trial 97 finished with value: -1.850556385114984 and parameters: {'x': 1.6694509241129274, 'y': -4.637622773136491}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,456] Trial 98 finished with value: -4.123947710614007 and parameters: {'x': 0.23755371904375444, 'y': -4.180379480045526}. Best is trial 72 with value: -4.8626913893245485.\n[I 2023-11-01 05:10:33,463] Trial 99 finished with value: -4.631150360571918 and parameters: {'x': 0.4331846104602164, 'y': -4.818799267311487}. Best is trial 72 with value: -4.8626913893245485.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 42%] 005_user_defined_sampler.py\n[I 2023-11-01 05:10:33,716] A new study created in memory with name: no-name-654bc052-f655-47e5-bef5-f2a5be58f03a\n[I 2023-11-01 05:10:33,735] Trial 0 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 8.929575014927925e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,754] Trial 1 finished with value: 0.72 and parameters: {'loss': 'hinge', 'alpha': 0.00010321025095962854}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,771] Trial 2 finished with value: 0.7 and parameters: {'loss': 'log_loss', 'alpha': 8.61306170634089e-05}. Best is trial 0 with value: 0.72.\n[I 2023-11-01 05:10:33,789] Trial 3 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00012811883502384877}. Best is trial 3 with value: 0.76.\n[I 2023-11-01 05:10:33,806] Trial 4 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.0366046020456392e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,823] Trial 5 finished with value: 0.76 and parameters: {'loss': 'log_loss', 'alpha': 0.00016436910598228077}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,840] Trial 6 finished with value: 0.92 and parameters: {'loss': 'log_loss', 'alpha': 0.0002448899548184298}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,859] Trial 7 finished with value: 0.76 and parameters: {'loss': 'hinge', 'alpha': 0.0002030487592250672}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,877] Trial 8 pruned. \n[I 2023-11-01 05:10:33,894] Trial 9 pruned. \n[I 2023-11-01 05:10:33,918] Trial 10 finished with value: 0.84 and parameters: {'loss': 'perceptron', 'alpha': 1.1102587431000562e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,942] Trial 11 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 1.016671561443598e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,967] Trial 12 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 2.143863278033103e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:33,992] Trial 13 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0003313743684429552}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,017] Trial 14 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 4.2810509278816464e-05}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:34,042] Trial 15 pruned. \n[I 2023-11-01 05:10:34,068] Trial 16 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286479146648954}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,099] Trial 17 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006218985218987188}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,124] Trial 18 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003810713184776978}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,148] Trial 19 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009496905966398203}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,171] Trial 20 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000968666803942028}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,199] Trial 21 finished with value: 0.76 and parameters: {'loss': 'perceptron', 'alpha': 0.0008493970946451724}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,223] Trial 22 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009569085952863658}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,248] Trial 23 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005496197142186719}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,272] Trial 24 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009286820102417735}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,296] Trial 25 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.0005215566389381889}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,321] Trial 26 finished with value: 0.9 and parameters: {'loss': 'hinge', 'alpha': 0.0005143783689907989}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,344] Trial 27 pruned. \n[I 2023-11-01 05:10:34,368] Trial 28 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009311704691774453}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,393] Trial 29 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.00042761019794935865}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,422] Trial 30 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.0006227344718262742}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,446] Trial 31 pruned. \n[I 2023-11-01 05:10:34,470] Trial 32 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009459802855843404}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,496] Trial 33 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0008963048061208879}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,522] Trial 34 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004648626635800396}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,553] Trial 35 finished with value: 0.92 and parameters: {'loss': 'perceptron', 'alpha': 0.000662933811271256}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,577] Trial 36 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.000987274631555338}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,602] Trial 37 finished with value: 0.7 and parameters: {'loss': 'perceptron', 'alpha': 0.000298572099521705}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,626] Trial 38 finished with value: 0.88 and parameters: {'loss': 'hinge', 'alpha': 0.0004470650478583855}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,653] Trial 39 finished with value: 0.72 and parameters: {'loss': 'perceptron', 'alpha': 0.0002740776745719036}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,678] Trial 40 pruned. \n[I 2023-11-01 05:10:34,703] Trial 41 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0008047033695062268}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,727] Trial 42 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009604748715106533}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,752] Trial 43 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000581525823696794}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,776] Trial 44 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0007552321706381759}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,801] Trial 45 finished with value: 0.96 and parameters: {'loss': 'perceptron', 'alpha': 0.0009881219732174487}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,825] Trial 46 finished with value: 0.86 and parameters: {'loss': 'perceptron', 'alpha': 0.000585687790132257}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,850] Trial 47 finished with value: 0.8 and parameters: {'loss': 'perceptron', 'alpha': 0.0003915493867276209}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,876] Trial 48 finished with value: 0.74 and parameters: {'loss': 'log_loss', 'alpha': 0.0001985827840934149}. Best is trial 16 with value: 0.96.\n[I 2023-11-01 05:10:34,901] Trial 49 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 50%] 006_user_defined_pruner.py\n[I 2023-11-01 05:10:35,179] A new study created in memory with name: no-name-c76683db-2002-4af2-8d53-66a668107cba\n[I 2023-11-01 05:10:35,181] Trial 0 finished with value: 0.07977777856892032 and parameters: {'x': 0.07977777856892032}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,181] Trial 1 finished with value: 0.7652693888791419 and parameters: {'x': 0.7652693888791419}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,182] Trial 2 finished with value: 0.4691639179603989 and parameters: {'x': 0.4691639179603989}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 3 finished with value: 0.5822393379114658 and parameters: {'x': 0.5822393379114658}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,183] Trial 4 finished with value: 0.8830521036019581 and parameters: {'x': 0.8830521036019581}. Best is trial 0 with value: 0.07977777856892032.\n[I 2023-11-01 05:10:35,184] Trial 5 pruned. \n[I 2023-11-01 05:10:35,184] Trial 6 pruned. \n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 58%] 007_optuna_callback.py\n[I 2023-11-01 05:10:35,428] A new study created in memory with name: no-name-c739be75-0469-455c-bd0d-60581b36a8e1\n[I 2023-11-01 05:10:35,538] Trial 0 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 1.0, 'bagging_freq': 0, 'min_child_samples': 20}. Best is trial 0 with value: 0.972027972027972.\n[I 2023-11-01 05:10:35,631] Trial 1 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.75, 'bagging_freq': 5, 'min_child_samples': 20}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,664] Trial 2 finished with value: 0.9370629370629371 and parameters: {'bagging_fraction': 0.4104779570391478, 'bagging_freq': 4, 'min_child_samples': 86}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,710] Trial 3 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.7540947843189368, 'bagging_freq': 5, 'min_child_samples': 78}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,764] Trial 4 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.9980261535925151, 'bagging_freq': 5, 'min_child_samples': 56}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:35,804] Trial 5 pruned. Trial was pruned at iteration 17.\n[I 2023-11-01 05:10:35,818] Trial 6 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,831] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,847] Trial 8 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,861] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,894] Trial 10 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,926] Trial 11 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:35,962] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,083] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.7048775504632986, 'bagging_freq': 2, 'min_child_samples': 29}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,114] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,147] Trial 15 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,217] Trial 16 pruned. Trial was pruned at iteration 31.\n[I 2023-11-01 05:10:36,333] Trial 17 finished with value: 0.958041958041958 and parameters: {'bagging_fraction': 0.7565674629945255, 'bagging_freq': 1, 'min_child_samples': 46}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,367] Trial 18 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,421] Trial 19 pruned. Trial was pruned at iteration 32.\n[I 2023-11-01 05:10:36,453] Trial 20 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,486] Trial 21 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,626] Trial 22 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9242133080936901, 'bagging_freq': 1, 'min_child_samples': 24}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,657] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:36,880] Trial 24 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8474232729382789, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:36,947] Trial 25 pruned. Trial was pruned at iteration 39.\n[I 2023-11-01 05:10:36,979] Trial 26 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,012] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,055] Trial 28 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,087] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,191] Trial 30 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.8950371767642401, 'bagging_freq': 3, 'min_child_samples': 55}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,226] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,265] Trial 32 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:37,298] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,331] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,364] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,407] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,442] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,478] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,511] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,544] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,580] Trial 41 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,627] Trial 42 pruned. Trial was pruned at iteration 11.\n[I 2023-11-01 05:10:37,661] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,698] Trial 44 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,734] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,768] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,905] Trial 47 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8114410604261729, 'bagging_freq': 0, 'min_child_samples': 31}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:37,939] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:37,973] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,008] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,046] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,082] Trial 52 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,118] Trial 53 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,153] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,188] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,236] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,271] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,308] Trial 58 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,349] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,387] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,423] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,461] Trial 62 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,500] Trial 63 pruned. Trial was pruned at iteration 5.\n[I 2023-11-01 05:10:38,694] Trial 64 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7965683098337462, 'bagging_freq': 0, 'min_child_samples': 13}. Best is trial 1 with value: 0.986013986013986.\n[I 2023-11-01 05:10:38,729] Trial 65 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,765] Trial 66 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,802] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,837] Trial 68 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,871] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:38,908] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,036] Trial 71 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.806551277263392, 'bagging_freq': 0, 'min_child_samples': 38}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,073] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,260] Trial 73 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.7915625581756872, 'bagging_freq': 0, 'min_child_samples': 18}. Best is trial 71 with value: 0.993006993006993.\n[I 2023-11-01 05:10:39,295] Trial 74 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,336] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,371] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,408] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,443] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,478] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,512] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,550] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,586] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,621] Trial 83 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,659] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,696] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,732] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,775] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,810] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,847] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,884] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,919] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,954] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:39,994] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,030] Trial 94 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,073] Trial 95 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:40,112] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,148] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,185] Trial 98 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,223] Trial 99 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:40,226] A new study created in memory with name: no-name-2f261799-bea7-4027-b162-f00d9022a360\n[I 2023-11-01 05:10:40,397] Trial 2 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9510707293830148, 'bagging_freq': 6, 'min_child_samples': 9}. Best is trial 2 with value: 0.972027972027972.\n[I 2023-11-01 05:10:40,481] Trial 3 finished with value: 0.993006993006993 and parameters: {'bagging_fraction': 0.7937220901817954, 'bagging_freq': 1, 'min_child_samples': 29}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,520] Trial 4 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.6160599410096298, 'bagging_freq': 1, 'min_child_samples': 77}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,536] Trial 5 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,551] Trial 6 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,563] Trial 7 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,578] Trial 8 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,591] Trial 9 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,623] Trial 10 pruned. Trial was pruned at iteration 3.\n[I 2023-11-01 05:10:40,657] Trial 11 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:40,686] Trial 12 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:40,891] Trial 13 finished with value: 0.9790209790209791 and parameters: {'bagging_fraction': 0.9029103140574527, 'bagging_freq': 2, 'min_child_samples': 5}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:40,922] Trial 14 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,136] Trial 15 finished with value: 0.965034965034965 and parameters: {'bagging_fraction': 0.8720802555471276, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,168] Trial 16 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,200] Trial 17 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,232] Trial 18 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,267] Trial 19 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,311] Trial 20 pruned. Trial was pruned at iteration 16.\n[I 2023-11-01 05:10:41,512] Trial 21 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.9640891781382809, 'bagging_freq': 2, 'min_child_samples': 6}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:41,546] Trial 22 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:41,578] Trial 23 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,610] Trial 24 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,640] Trial 25 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,673] Trial 26 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:41,707] Trial 27 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,739] Trial 28 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,773] Trial 29 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,807] Trial 30 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,841] Trial 31 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,874] Trial 32 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,908] Trial 33 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,941] Trial 34 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:41,974] Trial 35 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,010] Trial 36 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,045] Trial 37 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,084] Trial 38 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,119] Trial 39 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,152] Trial 40 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,193] Trial 41 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,234] Trial 42 pruned. Trial was pruned at iteration 4.\n[I 2023-11-01 05:10:42,275] Trial 43 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,426] Trial 44 finished with value: 0.986013986013986 and parameters: {'bagging_fraction': 0.9745711872505974, 'bagging_freq': 4, 'min_child_samples': 30}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:42,465] Trial 45 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,500] Trial 46 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,542] Trial 47 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:42,578] Trial 48 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,613] Trial 49 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,646] Trial 50 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,686] Trial 51 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,722] Trial 52 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,759] Trial 53 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,797] Trial 54 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,833] Trial 55 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,868] Trial 56 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,904] Trial 57 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:42,941] Trial 58 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:42,980] Trial 59 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,018] Trial 60 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,054] Trial 61 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,095] Trial 62 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:43,132] Trial 63 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,168] Trial 64 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,209] Trial 65 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,246] Trial 66 pruned. Trial was pruned at iteration 1.\n[I 2023-11-01 05:10:43,286] Trial 67 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,485] Trial 68 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.814231044559822, 'bagging_freq': 3, 'min_child_samples': 13}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,524] Trial 69 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,560] Trial 70 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,704] Trial 71 finished with value: 0.972027972027972 and parameters: {'bagging_fraction': 0.8070388579081524, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 3 with value: 0.993006993006993.\n[I 2023-11-01 05:10:43,748] Trial 72 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,783] Trial 73 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,921] Trial 74 finished with value: 1.0 and parameters: {'bagging_fraction': 0.7822417760635363, 'bagging_freq': 2, 'min_child_samples': 25}. Best is trial 74 with value: 1.0.\n[I 2023-11-01 05:10:43,959] Trial 75 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:43,995] Trial 76 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,033] Trial 77 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,074] Trial 78 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,114] Trial 79 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,152] Trial 80 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,192] Trial 81 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,232] Trial 82 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,272] Trial 83 pruned. Trial was pruned at iteration 2.\n[I 2023-11-01 05:10:44,310] Trial 84 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,347] Trial 85 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,385] Trial 86 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,422] Trial 87 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,458] Trial 88 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,496] Trial 89 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,532] Trial 90 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,568] Trial 91 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,605] Trial 92 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,644] Trial 93 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,695] Trial 94 pruned. Trial was pruned at iteration 8.\n[I 2023-11-01 05:10:44,733] Trial 95 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,769] Trial 96 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,808] Trial 97 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,844] Trial 98 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,881] Trial 99 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,921] Trial 100 pruned. Trial was pruned at iteration 0.\n[I 2023-11-01 05:10:44,961] Trial 101 pruned. Trial was pruned at iteration 0.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 67%] 008_specify_params.py\n[I 2023-11-01 05:10:45,217] A new study created in memory with name: no-name-d69304f8-1546-43cb-8dea-451c00712df0\n[I 2023-11-01 05:10:45,224] Trial 0 finished with value: 0.88 and parameters: {'C': 0.03787995022398106, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,230] Trial 1 finished with value: 0.28 and parameters: {'C': 0.00010616372982175543, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,234] Trial 2 finished with value: 0.4 and parameters: {'C': 0.0012467519164939904, 'solver': 'saga'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,240] Trial 3 finished with value: 0.52 and parameters: {'C': 1.5852842088783042e-05, 'solver': 'lbfgs'}. Best is trial 0 with value: 0.88.\n[I 2023-11-01 05:10:45,244] Trial 4 finished with value: 0.92 and parameters: {'C': 0.04085681080455267, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,250] Trial 5 finished with value: 0.52 and parameters: {'C': 5.5609211235353965e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,256] Trial 6 finished with value: 0.8 and parameters: {'C': 0.7371318108187781, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,268] Trial 7 finished with value: 0.48 and parameters: {'C': 8.225326369398754e-05, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,276] Trial 8 finished with value: 0.88 and parameters: {'C': 4.129742498990061, 'solver': 'lbfgs'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,280] Trial 9 finished with value: 0.44 and parameters: {'C': 5.869571970745492e-06, 'solver': 'saga'}. Best is trial 4 with value: 0.92.\n[I 2023-11-01 05:10:45,281] A new study created in memory with name: no-name-a741785a-ce9c-42d9-b108-bc2d11e9ad58\n[I 2023-11-01 05:10:45,316] A new study created in memory with name: no-name-9d585a3e-337c-484d-a5cb-85857ac26cbe\n[I 2023-11-01 05:10:45,354] A new study created in memory with name: no-name-c65fb70a-521c-42de-a9b8-962c62daa548\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 75%] 009_ask_and_tell.py\n[I 2023-11-01 05:10:45,660] A new study created in memory with name: no-name-3b1dbacd-431b-4d14-8a81-50b1ef808a4f\n[I 2023-11-01 05:10:45,667] Trial 0 finished with value: 0.92 and parameters: {'C': 1.2339191565603391}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,674] Trial 1 finished with value: 0.44 and parameters: {'C': 1.5453619672208217e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,680] Trial 2 finished with value: 0.44 and parameters: {'C': 9.889960100128812e-06}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,685] Trial 3 finished with value: 0.92 and parameters: {'C': 0.5733486103749144}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,692] Trial 4 finished with value: 0.44 and parameters: {'C': 3.0182675710298892e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,697] Trial 5 finished with value: 0.88 and parameters: {'C': 0.014104224684309961}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,704] Trial 6 finished with value: 0.44 and parameters: {'C': 2.258883456235894e-05}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,710] Trial 7 finished with value: 0.44 and parameters: {'C': 7.428228616934172e-07}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,716] Trial 8 finished with value: 0.48 and parameters: {'C': 0.001602081741739879}. Best is trial 0 with value: 0.92.\n[I 2023-11-01 05:10:45,722] Trial 9 finished with value: 0.92 and parameters: {'C': 3.569508851757337}. Best is trial 0 with value: 0.92.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 83%] 010_reuse_best_trial.py\n[I 2023-11-01 05:10:45,995] A new study created in Journal with name: example-study\n[I 2023-11-01 05:10:46,001] Trial 0 finished with value: 34.410153381868675 and parameters: {'x': 7.866016824206071}. Best is trial 0 with value: 34.410153381868675.\n[I 2023-11-01 05:10:46,005] Trial 1 finished with value: 31.580643688325605 and parameters: {'x': 7.619665798633012}. Best is trial 1 with value: 31.580643688325605.\n[I 2023-11-01 05:10:46,009] Trial 2 finished with value: 1.5599176297230128 and parameters: {'x': 3.248966624743437}. Best is trial 2 with value: 1.5599176297230128.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [ 92%] 011_journal_storage.py\n[I 2023-11-01 05:10:46,339] A new study created in RDB with name: test_study\n[I 2023-11-01 05:27:06,316] Trial 0 finished with value: -0.9834193696589024 and parameters: {'phi': 0.3499707267548111, 'theta': 0.1878524409215392, 'psi': -0.5675260577105363, 'x_pos': 0.21099870537360926, 'y_pos': 0.23725481821915168, 'z_hig': 3.8078162828354487}. Best is trial 0 with value: -0.9834193696589024.\n[I 2023-11-01 05:27:11,571] Trial 1 finished with value: -0.9852841041728484 and parameters: {'phi': 0.42212393265995063, 'theta': 0.18900816900102013, 'psi': -0.5939199906282602, 'x_pos': 0.3559852252545549, 'y_pos': 0.06390393833769276, 'z_hig': 2.63933079897011}. Best is trial 1 with value: -0.9852841041728484.\n[I 2023-11-01 05:27:18,746] Trial 2 finished with value: -0.9850886424480001 and parameters: {'phi': -0.6856695391930148, 'theta': -0.9387317954736119, 'psi': 0.4330005159584758, 'x_pos': 0.4936889492260561, 'y_pos': 0.44072438754187043, 'z_hig': 1.8442577911695013}. Best is trial 1 with value: -0.9852841041728484.\n\u001b[2Kgenerating gallery for tutorial/20_recipes... [100%] 012_artifact_tutorial.py\ncomputation time summary:\n - ../../tutorial/20_recipes/012_artifact_tutorial.py: 992.85 sec 0.0 MB\n - ../../tutorial/20_recipes/002_multi_objective.py: 217.68 sec 0.0 MB\n - ../../tutorial/20_recipes/008_specify_params.py: 9.54 sec 0.0 MB\n - ../../tutorial/10_key_features/005_visualization.py: 6.02 sec 0.0 MB\n - ../../tutorial/10_key_features/003_efficient_optimization_algorithms.py: 2.82 sec 0.0 MB\n - ../../tutorial/20_recipes/006_user_defined_pruner.py: 1.19 sec 0.0 MB\n - ../../tutorial/10_key_features/001_first.py: 1.19 sec 0.0 MB\n - ../../tutorial/20_recipes/001_rdb.py: 0.85 sec 0.0 MB\n - ../../tutorial/20_recipes/004_cli.py: 0.53 sec 0.0 MB\n - ../../tutorial/20_recipes/005_user_defined_sampler.py: 0.42 sec 0.0 MB\n - ../../tutorial/20_recipes/003_attributes.py: 0.34 sec 0.0 MB\n - ../../tutorial/20_recipes/009_ask_and_tell.py: 0.19 sec 0.0 MB\n - ../../tutorial/20_recipes/010_reuse_best_trial.py: 0.08 sec 0.0 MB\n - ../../tutorial/20_recipes/011_journal_storage.py: 0.02 sec 0.0 MB\n - ../../tutorial/20_recipes/007_optuna_callback.py: 0.01 sec 0.0 MB\n - ../../tutorial/10_key_features/002_configurations.py: 0.00 sec 0.0 MB\n - ../../tutorial/10_key_features/004_distributed.py: 0.00 sec 0.0 MB\nbuilding [mo]: targets for 0 po files that are out of date\nwriting output... \nbuilding [html]: targets for 25 source files that are out of date\nupdating environment: [new config] 198 added, 0 changed, 0 removed\n\u001b[2Kreading sources... 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[ 61%] reference/optuna\n\u001b[2Kreading sources... [ 62%] reference/pruners\n\u001b[2Kreading sources... [ 62%] reference/samplers/generated/optuna.samplers.BaseSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.BruteForceSampler\n\u001b[2Kreading sources... [ 63%] reference/samplers/generated/optuna.samplers.CmaEsSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.GridSampler\n\u001b[2Kreading sources... [ 64%] reference/samplers/generated/optuna.samplers.IntersectionSearchSpace\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIIISampler\n\u001b[2Kreading sources... [ 65%] reference/samplers/generated/optuna.samplers.NSGAIISampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.PartialFixedSampler\n\u001b[2Kreading sources... [ 66%] reference/samplers/generated/optuna.samplers.QMCSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.RandomSampler\n\u001b[2Kreading sources... [ 67%] reference/samplers/generated/optuna.samplers.TPESampler\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.intersection_search_space\n\u001b[2Kreading sources... [ 68%] reference/samplers/generated/optuna.samplers.nsgaii.BLXAlphaCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.BaseCrossover\n\u001b[2Kreading sources... [ 69%] reference/samplers/generated/optuna.samplers.nsgaii.SBXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.SPXCrossover\n\u001b[2Kreading sources... [ 70%] reference/samplers/generated/optuna.samplers.nsgaii.UNDXCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.UniformCrossover\n\u001b[2Kreading sources... [ 71%] reference/samplers/generated/optuna.samplers.nsgaii.VSBXCrossover\n\u001b[2Kreading sources... [ 72%] reference/samplers/index\n\u001b[2Kreading sources... [ 72%] reference/samplers/nsgaii\n\u001b[2Kreading sources... [ 73%] reference/search_space\n\u001b[2Kreading sources... [ 73%] reference/storages\n\u001b[2Kreading sources... [ 74%] reference/study\n\u001b[2Kreading sources... [ 74%] reference/terminator\n\u001b[2Kreading sources... [ 75%] reference/trial\n\u001b[2Kreading sources... [ 75%] reference/visualization/generated/optuna.visualization.is_available\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.is_available\n[I 2023-11-01 05:27:30,311] A new study created in memory with name: no-name-ba1d20e0-3593-4ef8-a60d-e4256db8f994\n[I 2023-11-01 05:27:30,313] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:30,313] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,314] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,315] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,316] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,317] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,318] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,319] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,320] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,327] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,333] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,340] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,346] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,352] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,358] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,367] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,373] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,380] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,386] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,393] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,400] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,406] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,413] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,420] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,426] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,433] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,439] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,446] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:30,452] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n:14: ExperimentalWarning:\n\nplot_contour is experimental (supported from v2.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:30,453] Output figures of this Matplotlib-based `plot_contour` function would be different from those of the Plotly-based `plot_contour`.\n\u001b[2Kreading sources... [ 76%] reference/visualization/generated/optuna.visualization.matplotlib.plot_contour\n[I 2023-11-01 05:27:30,838] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:27:30,840] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,840] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:27:30,841] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,842] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:27:30,843] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,844] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,845] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,846] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,847] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,848] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,849] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,850] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,851] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,852] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,853] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,854] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,856] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,859] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,860] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,861] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,862] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,863] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,864] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,865] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,866] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,867] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,868] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,869] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,870] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,871] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,872] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,873] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,874] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,875] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,876] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,877] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,878] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,879] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,880] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,881] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,882] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,883] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,884] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,885] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,886] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,887] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,888] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,889] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,890] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,891] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,892] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,893] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,894] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,895] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:27:30,896] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,897] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,898] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,899] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,900] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,901] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,902] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,905] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,906] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,907] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,908] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,909] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,910] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,911] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,912] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,913] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,914] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,915] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,916] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,917] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,918] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,919] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,920] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,921] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:27:30,922] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,923] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,924] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,925] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,926] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,927] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,928] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,929] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,930] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,931] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,932] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,933] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,934] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,935] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,936] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:27:30,937] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,938] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,939] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,940] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,941] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,942] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,943] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,944] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,945] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,946] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,947] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,948] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,949] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,950] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,951] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,952] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,953] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,954] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,955] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,956] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,957] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,958] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,959] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,960] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,961] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,962] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,963] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,964] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,965] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,966] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,967] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,968] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,969] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,970] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,971] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,972] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,973] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,974] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,975] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,976] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,977] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,978] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,979] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,980] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,981] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,982] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,983] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,984] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,985] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,986] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,987] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,988] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,989] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,990] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,991] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,992] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,993] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,994] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,995] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,996] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,997] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,998] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:30,999] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,000] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,001] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,002] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,003] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,004] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,005] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,006] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,007] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,008] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,009] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,010] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,011] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,012] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,013] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,014] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,015] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,016] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,017] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,018] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,019] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,020] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,021] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,022] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,023] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,024] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,025] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,026] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,027] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,028] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,029] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,030] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,031] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,032] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,033] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,034] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,035] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,036] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,037] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,038] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,039] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,040] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,041] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,042] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,043] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,044] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,045] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,046] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,047] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,048] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,049] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,050] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,051] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,052] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,053] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,054] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,055] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,056] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,057] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,058] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,059] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,060] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,061] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,062] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,063] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,064] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,065] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:27:31,066] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,066] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,067] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,068] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,069] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,070] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,071] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,072] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,073] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,074] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,075] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,076] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,077] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,078] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,079] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,080] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,081] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,082] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,083] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,084] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,085] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,086] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,087] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,088] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,089] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,090] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,091] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,092] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,094] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,095] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,096] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,097] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,098] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,099] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,100] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,101] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,102] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,103] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,104] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,105] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,106] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,107] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,108] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,109] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,110] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,111] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,112] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,114] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,115] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,116] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,117] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,118] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,119] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,120] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,121] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,122] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,123] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,124] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,125] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,126] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,127] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,128] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,129] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,130] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,131] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,132] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,133] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,134] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,135] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,136] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,137] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,138] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,139] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,140] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,141] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,142] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,143] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,144] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,145] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,146] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,147] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,148] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,149] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,150] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,151] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,152] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,153] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,154] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,155] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,156] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,157] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,158] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,159] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,160] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,161] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,162] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,163] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,164] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,165] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,166] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,168] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,169] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,170] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,171] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,172] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,173] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,174] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,175] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,176] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,177] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,178] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,179] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,180] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,181] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,182] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,183] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,184] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,185] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,186] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,187] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,188] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,189] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,190] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,191] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,192] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,193] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,194] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,195] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,196] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,197] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,198] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,199] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,200] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,201] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,202] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,203] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,204] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,205] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,206] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,207] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,208] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,209] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,210] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,211] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,212] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,213] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,214] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,215] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,217] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,218] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,219] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,220] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,221] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,222] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,223] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,224] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,225] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,226] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,227] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,228] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,229] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,230] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,231] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,232] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,233] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,234] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,235] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,236] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:27:31,237] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,238] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,239] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,240] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,241] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,242] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,243] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,244] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,245] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,246] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,247] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,248] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,249] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,250] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,251] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,252] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,253] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,254] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,255] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,256] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,259] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,260] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,261] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,262] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,263] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,264] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,265] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,266] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,267] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,268] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,270] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,271] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,272] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,273] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,274] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,275] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,276] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,277] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,278] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,279] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,280] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,281] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,282] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,283] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,284] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,285] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,286] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,287] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,288] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,289] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,290] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,291] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,292] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,293] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:27:31,294] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:27:31,295] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:27:31,295] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:27:31,296] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,297] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,298] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,299] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,300] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,301] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,302] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,303] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,304] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,305] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,306] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,307] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,308] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,309] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,310] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,311] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,312] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,313] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,314] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,315] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,316] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,317] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,318] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:27:31,319] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,321] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,323] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,324] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,325] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,326] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,327] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,328] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:27:31,329] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,330] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,331] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,332] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,333] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,334] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,335] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,336] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,337] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,338] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,339] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,340] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,341] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,342] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,343] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,344] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,345] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,346] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,347] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,348] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,349] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,350] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,351] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,352] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,353] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,354] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,355] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,356] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,357] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,358] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,359] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,360] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,361] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,362] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,363] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:27:31,364] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,365] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,366] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,368] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,369] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,370] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,371] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,372] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,373] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,374] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,375] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,376] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,377] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,378] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,379] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,380] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,381] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,382] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,383] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,384] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,385] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,386] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,387] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,388] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,389] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,390] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,391] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,392] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,393] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,394] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,395] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,396] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,397] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,398] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,399] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,400] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,401] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,402] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,403] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,404] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,405] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,406] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,407] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,408] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,409] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,410] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,411] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,412] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,413] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,414] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,415] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,416] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,417] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,418] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,419] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,420] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,421] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,422] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,423] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,424] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,425] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,426] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,427] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,429] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,430] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,431] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,432] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,433] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,434] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,435] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,436] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,437] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,438] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,439] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,440] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,441] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,442] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,443] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,444] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,445] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,446] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,447] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,448] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,449] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,450] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,451] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,452] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,453] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,454] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,455] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,456] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,457] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,458] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,459] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,460] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,461] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,462] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,463] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,464] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,465] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,466] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,467] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,468] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,469] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,470] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,471] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,472] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,473] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,474] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,475] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,476] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,477] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,478] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,479] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,480] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,481] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,482] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,483] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,484] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,485] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,486] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,487] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,488] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,489] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,490] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,491] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,492] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,493] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,494] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,495] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,496] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,497] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,498] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,499] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,500] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,501] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,502] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,503] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,504] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,505] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,506] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,507] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,508] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,509] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,510] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,511] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,512] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,513] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,514] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,515] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,516] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,517] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,518] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,519] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,520] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,521] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,522] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,523] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,524] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,525] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,526] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,527] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,528] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,529] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,530] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,531] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,532] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,533] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,534] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,535] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,536] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,537] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,538] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,539] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,540] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,541] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,542] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,543] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,544] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,545] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,546] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,547] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,548] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,549] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,550] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,551] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,552] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,553] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,554] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,555] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,556] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,557] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,558] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,559] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,560] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,561] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,562] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,563] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,564] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,565] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,566] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,567] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,568] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,569] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,570] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,571] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,572] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,573] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,574] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,575] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,576] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,577] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,578] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,579] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,580] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,581] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,582] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,583] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,584] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,585] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,586] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,587] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,588] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,589] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,590] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,591] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,592] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,593] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,594] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,595] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,596] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,597] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,598] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,599] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,600] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,601] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,602] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,603] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,604] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,605] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,606] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,607] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,608] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,609] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,610] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,611] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,612] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,613] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,614] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,615] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,616] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,618] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,619] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,620] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,621] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,623] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,624] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,625] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,626] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,627] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,628] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,629] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,630] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,631] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,632] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,633] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,634] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,635] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,636] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,637] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,638] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,639] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,640] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,641] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,642] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,643] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,644] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,645] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,646] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,647] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,648] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,649] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,650] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,651] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,652] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,653] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,654] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,655] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,656] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,657] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,658] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,659] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,660] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,661] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,662] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,663] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,664] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,665] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,666] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,667] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:27:31,668] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,669] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,670] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,671] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,672] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,673] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,674] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,675] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,676] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,677] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,678] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,679] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,680] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,681] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,682] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,683] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,684] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,685] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,686] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,687] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,688] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,689] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,690] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,691] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,692] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,693] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,694] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,695] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,696] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,697] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,698] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,699] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,700] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,701] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,702] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,703] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,704] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,705] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,706] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,707] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,708] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,709] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,710] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,711] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,712] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,713] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,714] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,715] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,716] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,717] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,718] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,719] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,720] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,721] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,722] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,723] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,724] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,725] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,726] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,727] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,728] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,729] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,730] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,731] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,732] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,733] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,734] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,735] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,736] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,737] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,738] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,739] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,740] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,741] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,742] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,743] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,744] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,745] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,746] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,747] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,748] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,749] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,751] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,752] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,753] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,754] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,755] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,756] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,757] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,758] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,759] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,760] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,761] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,762] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,763] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:27:31,764] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:27:31,765] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:27:31,766] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,767] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,768] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:27:31,769] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,769] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,770] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,771] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,772] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:27:31,773] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,774] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:27:31,775] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,776] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,777] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,778] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,779] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,780] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,781] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,782] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,783] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,784] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,785] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,786] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,787] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,788] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,789] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,790] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,791] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,792] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,793] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,794] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,795] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,796] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,797] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,798] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,799] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,800] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,801] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,802] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,803] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,804] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,805] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,806] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,807] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,808] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,809] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,810] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,811] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,812] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,813] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,814] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,815] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,816] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,817] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,818] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,819] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,820] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,821] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,822] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,823] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,824] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,825] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,826] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,827] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,828] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,829] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,830] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,831] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,832] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,833] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,834] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,835] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,836] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,837] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,838] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,839] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,840] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,841] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,842] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,843] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,844] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,845] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,846] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,847] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,848] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,849] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,850] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,851] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,852] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,853] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,854] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,855] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:27:31,856] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,857] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,858] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,859] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,860] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,862] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,863] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,864] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,865] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,866] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,867] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,868] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,869] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,870] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,871] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,872] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,873] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,874] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,875] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,876] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,877] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,878] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,879] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,880] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,881] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,882] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,883] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,884] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,885] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,886] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,887] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,888] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,889] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,890] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,891] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,892] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,893] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,894] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,895] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,896] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,897] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,898] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,899] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,900] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,901] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,902] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,903] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,904] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,905] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,906] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,907] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,908] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,909] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,910] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,911] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,912] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,913] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,914] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,915] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,916] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,917] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,918] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,919] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,920] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,921] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,922] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,923] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,924] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,925] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,926] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,927] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,928] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,929] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,930] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,931] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,932] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,933] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,934] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,935] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,936] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,937] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,938] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,939] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,940] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,941] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,942] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,943] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,944] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,945] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,946] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,947] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,948] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,949] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,950] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,951] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,952] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,953] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,954] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,955] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,956] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,957] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,958] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,959] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,960] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,961] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,962] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,963] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,964] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,965] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,966] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,967] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,968] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,969] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,970] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,971] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,972] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,974] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,975] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,976] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,977] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,978] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,979] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,980] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,981] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,982] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,983] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,984] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,985] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,986] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,987] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,988] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,989] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,990] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,991] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,992] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,993] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,994] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,995] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,996] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,997] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,998] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:31,999] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,000] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,001] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,002] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,003] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,004] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,005] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,007] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,009] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,010] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,011] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,012] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,013] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,014] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,015] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,016] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,017] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,018] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,019] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,020] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,021] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,022] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,023] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,024] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,025] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,026] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,027] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,028] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,029] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,030] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,031] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,032] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,033] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,034] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,035] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,036] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,037] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,038] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,039] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,040] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,041] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,042] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,043] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,044] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,045] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,046] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,047] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,048] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,049] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,050] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,051] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,053] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,054] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,056] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,057] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,058] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,059] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,060] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,061] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,062] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,063] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,064] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,065] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,066] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,067] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,068] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,069] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,070] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,071] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,072] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,073] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,074] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,075] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,076] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,077] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,078] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,079] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,080] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,081] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,082] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,083] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,085] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,086] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,087] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,088] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,089] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,090] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,091] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,092] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,093] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,094] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,095] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,096] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,097] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,098] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,099] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,100] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,101] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,102] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,103] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,104] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,105] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,106] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,107] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,108] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,109] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,110] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,111] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,112] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,113] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,115] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,116] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,117] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,118] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,119] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,120] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,121] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,122] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,123] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,124] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,125] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,126] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,127] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,128] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,129] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,130] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,131] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,132] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,133] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,134] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,135] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,136] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,137] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,138] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,139] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,140] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,141] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,142] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,143] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,144] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,145] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,146] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,147] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,148] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,149] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,150] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,151] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,152] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,153] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,154] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,156] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,157] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,158] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,159] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,160] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,161] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,162] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,163] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,164] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,165] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,167] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,168] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,169] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,170] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,171] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,172] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,173] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,174] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,175] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,177] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,178] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,179] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,180] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,181] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,182] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,183] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,184] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,185] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,186] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,187] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,188] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,189] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,190] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,191] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,192] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,193] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,195] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,196] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,198] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,199] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,200] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,201] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,202] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,203] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,204] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,205] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,206] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,207] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,208] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,209] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,210] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,211] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,212] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,213] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,214] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,215] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,216] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,217] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,218] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,219] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,220] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,221] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,222] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,223] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,224] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,225] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,226] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,227] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,228] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,229] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,230] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,231] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,232] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,233] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,234] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,235] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,236] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,237] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,238] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,239] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,240] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,241] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,242] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,243] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,244] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,245] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,246] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,247] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,248] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,249] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,250] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,251] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,252] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:27:32,253] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_edf\n:32: ExperimentalWarning:\n\nplot_edf is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:32,435] A new study created in memory with name: no-name-79af99d4-cd7c-428c-8873-4d586046ab43\n[I 2023-11-01 05:27:32,437] Trial 0 finished with values: [103.61328471235042, 10.94405844962042] and parameters: {'x': 4.797929604924771, 'y': 1.697996667921948}. \n[I 2023-11-01 05:27:32,438] Trial 1 finished with values: [15.83702250176422, 30.869766556835916] and parameters: {'x': 1.95872351255152, 'y': 0.3502253943089937}. \n[I 2023-11-01 05:27:32,439] Trial 2 finished with values: [87.73605227511361, 24.912402923215257] and parameters: {'x': 4.683338422408018, 'y': 0.018822592148296735}. \n[I 2023-11-01 05:27:32,440] Trial 3 finished with values: [0.9741882773170711, 43.28972142433291] and parameters: {'x': 0.3179539839173967, 'y': 0.37742858058223894}. \n[I 2023-11-01 05:27:32,441] Trial 4 finished with values: [102.82220932262832, 5.938775131867783] and parameters: {'x': 4.315543891092428, 'y': 2.6611338287865016}. \n[I 2023-11-01 05:27:32,443] Trial 5 finished with values: [10.589038803571967, 33.005142599333595] and parameters: {'x': 1.581353666812035, 'y': 0.3828580433439047}. \n[I 2023-11-01 05:27:32,444] Trial 6 finished with values: [26.21426791712445, 22.56227980136272] and parameters: {'x': 1.076455636752457, 'y': 2.322673081039382}. \n[I 2023-11-01 05:27:32,445] Trial 7 finished with values: [60.91457806920518, 10.213144068885594] and parameters: {'x': 2.5326946824619134, 'y': 2.9688553623796565}. \n[I 2023-11-01 05:27:32,446] Trial 8 finished with values: [100.09618187807513, 14.721893143639885] and parameters: {'x': 4.864742390222473, 'y': 1.1654728423654168}. \n[I 2023-11-01 05:27:32,447] Trial 9 finished with values: [34.08176988147487, 22.02239752926515] and parameters: {'x': 0.8605615272484701, 'y': 2.7892429668618863}. \n[I 2023-11-01 05:27:32,448] Trial 10 finished with values: [10.931459303513805, 33.29314496161718] and parameters: {'x': 1.6213515620083607, 'y': 0.32262042441776617}. \n[I 2023-11-01 05:27:32,449] Trial 11 finished with values: [51.60635472836498, 24.534651541208085] and parameters: {'x': 3.5829007543735365, 'y': 0.2537929597147792}. \n[I 2023-11-01 05:27:32,450] Trial 12 finished with values: [3.676107587271854, 37.362520989964366] and parameters: {'x': 0.6696817455890042, 'y': 0.6859688450963555}. \n[I 2023-11-01 05:27:32,451] Trial 13 finished with values: [85.61121771042768, 22.344552608097228] and parameters: {'x': 4.617311360804509, 'y': 0.28851382114645985}. \n[I 2023-11-01 05:27:32,452] Trial 14 finished with values: [53.52998084036522, 23.285562466658508] and parameters: {'x': 3.6394222905040943, 'y': 0.37027098383918544}. \n[I 2023-11-01 05:27:32,453] Trial 15 finished with values: [87.83071661905484, 17.935473138798308] and parameters: {'x': 4.620183702287472, 'y': 0.7820368993090687}. \n[I 2023-11-01 05:27:32,454] Trial 16 finished with values: [23.766810037258978, 29.164768262259855] and parameters: {'x': 0.25333267030647977, 'y': 2.424360754399009}. \n[I 2023-11-01 05:27:32,455] Trial 17 finished with values: [6.505164008560464, 35.331887617619984] and parameters: {'x': 1.2012127913113513, 'y': 0.428227547140662}. \n[I 2023-11-01 05:27:32,456] Trial 18 finished with values: [37.797945053744584, 16.332010002023715] and parameters: {'x': 1.8784729590084681, 'y': 2.4332746671327747}. \n[I 2023-11-01 05:27:32,457] Trial 19 finished with values: [43.3388825136945, 16.945858585726494] and parameters: {'x': 2.9701877674111055, 'y': 1.4186984368586075}. \n[I 2023-11-01 05:27:32,458] Trial 20 finished with values: [63.72607306425623, 12.113197353248978] and parameters: {'x': 3.5422267811217276, 'y': 1.8396053101597802}. \n[I 2023-11-01 05:27:32,459] Trial 21 finished with values: [15.331044887999944, 28.173261318510868] and parameters: {'x': 0.7630175231086178, 'y': 1.8029324672402947}. \n[I 2023-11-01 05:27:32,460] Trial 22 finished with values: [25.19801539178267, 20.81445700329347] and parameters: {'x': 1.8164489067246596, 'y': 1.73205577774056}. \n[I 2023-11-01 05:27:32,461] Trial 23 finished with values: [32.22186427441994, 27.257237350974403] and parameters: {'x': 0.25289713761449784, 'y': 2.8269257341485607}. \n[I 2023-11-01 05:27:32,462] Trial 24 finished with values: [27.729241117793016, 26.222854721403507] and parameters: {'x': 0.4826297278490427, 'y': 2.588315827955432}. \n[I 2023-11-01 05:27:32,463] Trial 25 finished with values: [66.8065179135026, 9.003290790976708] and parameters: {'x': 3.0524550523411467, 'y': 2.717378816398748}. \n[I 2023-11-01 05:27:32,464] Trial 26 finished with values: [53.504205082557405, 21.78133590649228] and parameters: {'x': 3.6168514989702145, 'y': 0.5426200374444925}. \n[I 2023-11-01 05:27:32,465] Trial 27 finished with values: [20.57110813737198, 23.321290308026313] and parameters: {'x': 1.3913971631371624, 'y': 1.790751509494506}. \n[I 2023-11-01 05:27:32,466] Trial 28 finished with values: [3.9728567110964264, 38.313699765013745] and parameters: {'x': 0.941679920363272, 'y': 0.32627152091276423}. \n[I 2023-11-01 05:27:32,468] Trial 29 finished with values: [2.0094357536427667, 41.80351584225872] and parameters: {'x': 0.18593454211941474, 'y': 0.6839497674957827}. \n[I 2023-11-01 05:27:32,469] Trial 30 finished with values: [24.7931125841299, 23.148927979068226] and parameters: {'x': 2.2595014504549846, 'y': 1.0454335662414405}. \n[I 2023-11-01 05:27:32,470] Trial 31 finished with values: [37.691760206149375, 19.17532061122433] and parameters: {'x': 2.8258874865796195, 'y': 1.1988744574516819}. \n[I 2023-11-01 05:27:32,471] Trial 32 finished with values: [14.522212165277203, 27.07842802978518] and parameters: {'x': 1.5572541638903503, 'y': 1.0979583372630617}. \n[I 2023-11-01 05:27:32,472] Trial 33 finished with values: [30.07498066910392, 22.72708965624649] and parameters: {'x': 2.595867979582595, 'y': 0.8832975715203539}. \n[I 2023-11-01 05:27:32,473] Trial 34 finished with values: [52.8938359315913, 12.502242397044068] and parameters: {'x': 2.111649517501641, 'y': 2.9604721410837347}. \n[I 2023-11-01 05:27:32,474] Trial 35 finished with values: [76.9968752213028, 15.16495788865888] and parameters: {'x': 4.224687052650825, 'y': 1.1837390390158569}. \n[I 2023-11-01 05:27:32,475] Trial 36 finished with values: [43.03703336577429, 15.474853683010718] and parameters: {'x': 1.7612928946807715, 'y': 2.767147571162514}. \n[I 2023-11-01 05:27:32,476] Trial 37 finished with values: [108.04504091182734, 11.922491606612088] and parameters: {'x': 4.961558992823505, 'y': 1.5473178693109695}. \n[I 2023-11-01 05:27:32,477] Trial 38 finished with values: [44.62679943268051, 15.52995269365822] and parameters: {'x': 1.6699047887223628, 'y': 2.892769927728828}. \n[I 2023-11-01 05:27:32,478] Trial 39 finished with values: [6.800565182508744, 36.561615581569704] and parameters: {'x': 0.23049182081133213, 'y': 1.283360750594416}. \n[I 2023-11-01 05:27:32,479] Trial 40 finished with values: [45.89787187192945, 14.981674193982363] and parameters: {'x': 2.901947493698294, 'y': 1.747331883701706}. \n[I 2023-11-01 05:27:32,480] Trial 41 finished with values: [26.63635524297037, 26.499770310024402] and parameters: {'x': 2.5353816998329926, 'y': 0.4805501502388264}. \n[I 2023-11-01 05:27:32,481] Trial 42 finished with values: [81.70976024712309, 24.532532848104587] and parameters: {'x': 4.519124770881296, 'y': 0.070365950486322}. \n[I 2023-11-01 05:27:32,482] Trial 43 finished with values: [58.029319389662874, 25.4557508994272] and parameters: {'x': 3.807599264776141, 'y': 0.0975586300227107}. \n[I 2023-11-01 05:27:32,483] Trial 44 finished with values: [11.147786489983183, 35.460446109716045] and parameters: {'x': 1.6681693130162223, 'y': 0.06448073826175282}. \n[I 2023-11-01 05:27:32,484] Trial 45 finished with values: [73.68316963820848, 20.461885105782947] and parameters: {'x': 4.25812122524773, 'y': 0.5377695051291875}. \n[I 2023-11-01 05:27:32,485] Trial 46 finished with values: [55.11570784287927, 11.64351756606419] and parameters: {'x': 2.299832041886018, 'y': 2.9137088975795447}. \n[I 2023-11-01 05:27:32,486] Trial 47 finished with values: [79.47739363347132, 20.599045967837302] and parameters: {'x': 4.429670621403558, 'y': 0.49735962264949507}. \n[I 2023-11-01 05:27:32,488] Trial 48 finished with values: [38.877492035141074, 15.684420332790733] and parameters: {'x': 2.3112641231971605, 'y': 2.092231144402293}. \n[I 2023-11-01 05:27:32,489] Trial 49 finished with values: [46.49979283724797, 23.38323465603214] and parameters: {'x': 3.3805551073520017, 'y': 0.4436162479759834}. \n\u001b[2Kreading sources... [ 77%] reference/visualization/generated/optuna.visualization.matplotlib.plot_hypervolume_history\n:18: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,160] A new study created in memory with name: no-name-e9c84749-6b64-43a4-80f9-a3dd928af666\n[I 2023-11-01 05:27:33,165] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,169] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,173] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,177] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,181] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,182] Trial 5 pruned. \n[I 2023-11-01 05:27:33,184] Trial 6 pruned. \n[I 2023-11-01 05:27:33,222] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:27:33,224] Trial 8 pruned. \n[I 2023-11-01 05:27:33,225] Trial 9 pruned. \n[I 2023-11-01 05:27:33,270] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:27:33,314] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:27:33,358] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,400] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,443] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:27:33,487] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_intermediate_values\n:33: ExperimentalWarning:\n\nplot_intermediate_values is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:33,897] A new study created in memory with name: no-name-b4cbbd89-7a98-4a16-a399-c3177a84729a\n[I 2023-11-01 05:27:33,898] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:33,899] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,900] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,901] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,902] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,903] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,904] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,905] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:33,906] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 78%] reference/visualization/generated/optuna.visualization.matplotlib.plot_optimization_history\n:14: ExperimentalWarning:\n\nplot_optimization_history is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,176] A new study created in memory with name: no-name-b6e4df75-dcda-4b9c-a946-003b77c1c88d\n[I 2023-11-01 05:27:34,177] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:34,178] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,179] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,180] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,181] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,182] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,183] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,184] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:34,185] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_parallel_coordinate\n:13: ExperimentalWarning:\n\nplot_parallel_coordinate is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:34,458] A new study created in memory with name: no-name-4522bbe1-89cd-40eb-b8d3-31a9a0c28ab4\n[I 2023-11-01 05:27:34,460] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,461] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:27:34,462] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:27:34,463] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,465] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,466] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,467] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,468] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,469] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,470] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,472] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,473] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,474] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,475] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,476] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,477] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,479] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,480] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,481] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,482] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,483] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,484] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,486] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,487] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,489] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,497] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,498] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,499] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,510] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,511] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,512] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,513] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,514] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,515] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,517] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,518] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,519] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,520] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,521] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,522] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,524] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,525] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,526] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,527] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,528] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,529] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,530] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,531] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,532] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,535] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,537] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,538] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,539] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,540] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,542] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,543] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,544] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,546] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,547] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,548] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,549] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,551] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,552] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,553] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,554] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,555] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,556] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:27:34,557] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,559] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,560] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,561] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,562] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:27:34,563] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,564] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,566] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,567] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,568] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,569] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,570] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,571] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,572] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,573] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,575] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,576] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:27:34,577] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 79%] reference/visualization/generated/optuna.visualization.matplotlib.plot_param_importances\n:15: ExperimentalWarning:\n\nplot_param_importances is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:36,361] A new study created in memory with name: no-name-b5a4ce8a-b8e8-4fe9-97b6-a15f9be646de\n[I 2023-11-01 05:27:36,363] Trial 0 finished with values: [75.67222849481738, 7.9077708601690135] and parameters: {'x': 3.4421659274410925, 'y': 2.6588626989124404}. \n[I 2023-11-01 05:27:36,364] Trial 1 finished with values: [62.45070373290372, 22.355150305071614] and parameters: {'x': 3.9315775444640004, 'y': 0.39417501835143076}. \n[I 2023-11-01 05:27:36,365] Trial 2 finished with values: [15.580048950834305, 29.87736526668286] and parameters: {'x': 0.48997609327409597, 'y': 1.9117886038284753}. \n[I 2023-11-01 05:27:36,366] Trial 3 finished with values: [1.4663060333299842, 41.84667310973943] and parameters: {'x': 0.4686140549790496, 'y': 0.38337628488025743}. \n[I 2023-11-01 05:27:36,366] Trial 4 finished with values: [74.36858941343357, 7.891871822981994] and parameters: {'x': 3.3261581616959464, 'y': 2.7438693913416934}. \n[I 2023-11-01 05:27:36,367] Trial 5 finished with values: [64.19115260248464, 16.51900300795381] and parameters: {'x': 3.851627491899545, 'y': 1.1012510223671903}. \n[I 2023-11-01 05:27:36,368] Trial 6 finished with values: [113.12409363810671, 8.449873971910106] and parameters: {'x': 4.887816088798374, 'y': 2.0952988549632834}. \n[I 2023-11-01 05:27:36,369] Trial 7 finished with values: [32.76586050950068, 23.864879988409616] and parameters: {'x': 2.7886848161873568, 'y': 0.6439736977091987}. \n[I 2023-11-01 05:27:36,370] Trial 8 finished with values: [48.6508135729492, 12.874786043949278] and parameters: {'x': 2.3743697321312003, 'y': 2.554422002797602}. \n[I 2023-11-01 05:27:36,371] Trial 9 finished with values: [44.992952544818216, 15.101919520332306] and parameters: {'x': 1.7592171590304533, 'y': 2.8554147025567715}. \n[I 2023-11-01 05:27:36,372] Trial 10 finished with values: [1.715131709434339, 42.5743545293583] and parameters: {'x': 0.63799952742494, 'y': 0.14744331237508856}. \n[I 2023-11-01 05:27:36,373] Trial 11 finished with values: [58.468456468452786, 10.706602504556184] and parameters: {'x': 2.488888452459927, 'y': 2.902162708795774}. \n[I 2023-11-01 05:27:36,374] Trial 12 finished with values: [90.0253982813633, 20.885249607425727] and parameters: {'x': 4.723793872044586, 'y': 0.4383161242469247}. \n[I 2023-11-01 05:27:36,375] Trial 13 finished with values: [23.437724544372045, 24.15946287952624] and parameters: {'x': 0.9388594189747307, 'y': 2.2311374066819467}. \n[I 2023-11-01 05:27:36,376] Trial 14 finished with values: [87.86705707101609, 9.718959447047322] and parameters: {'x': 4.2509898727694315, 'y': 1.9737906093012385}. \n[I 2023-11-01 05:27:36,377] Trial 15 finished with values: [109.78785221319814, 8.02488662229681] and parameters: {'x': 4.765290742620585, 'y': 2.1769169004796876}. \n[I 2023-11-01 05:27:36,378] Trial 16 finished with values: [2.362706434104838, 42.415427591908546] and parameters: {'x': 0.7668847247176586, 'y': 0.05064017694410772}. \n[I 2023-11-01 05:27:36,379] Trial 17 finished with values: [39.124578465402365, 19.896158087507057] and parameters: {'x': 2.9500432017940854, 'y': 1.0384554510902684}. \n[I 2023-11-01 05:27:36,380] Trial 18 finished with values: [44.68476849212886, 17.131757095434658] and parameters: {'x': 3.0604101403404025, 'y': 1.343533362419353}. \n[I 2023-11-01 05:27:36,381] Trial 19 finished with values: [35.298115908397556, 23.061553336731187] and parameters: {'x': 2.890323188324314, 'y': 0.6859743757125062}. \n[I 2023-11-01 05:27:36,382] Trial 20 finished with values: [96.16503689610808, 7.041742449112973] and parameters: {'x': 4.243447434171958, 'y': 2.456504243319447}. \n[I 2023-11-01 05:27:36,383] Trial 21 finished with values: [15.589630173432326, 31.20378508465159] and parameters: {'x': 1.9478247270627085, 'y': 0.3215375188079407}. \n[I 2023-11-01 05:27:36,384] Trial 22 finished with values: [2.17210382605177, 42.72844860254499] and parameters: {'x': 0.04599138757243382, 'y': 0.7354663478243615}. \n[I 2023-11-01 05:27:36,385] Trial 23 finished with values: [35.24883034847939, 21.549048809735943] and parameters: {'x': 2.8299807191079602, 'y': 0.8963351586304306}. \n[I 2023-11-01 05:27:36,386] Trial 24 finished with values: [45.93347165981196, 20.360894822919484] and parameters: {'x': 3.2865867684185606, 'y': 0.82566054078479}. \n[I 2023-11-01 05:27:36,387] Trial 25 finished with values: [119.76275433259349, 4.742482557823556] and parameters: {'x': 4.672828051124459, 'y': 2.8469925514080225}. \n[I 2023-11-01 05:27:36,387] Trial 26 finished with values: [7.517146647411453, 33.70802100254769] and parameters: {'x': 1.2464332161848675, 'y': 0.5706933497456499}. \n[I 2023-11-01 05:27:36,388] Trial 27 finished with values: [23.47829240161855, 24.86359957219902] and parameters: {'x': 0.8213538471379617, 'y': 2.2792435056826}. \n[I 2023-11-01 05:27:36,389] Trial 28 finished with values: [10.462883358095862, 35.418833232519795] and parameters: {'x': 0.10583638215513058, 'y': 1.6138523785452865}. \n[I 2023-11-01 05:27:36,391] Trial 29 finished with values: [97.87898683151265, 6.13627240571962] and parameters: {'x': 4.1658159435463435, 'y': 2.667531486669511}. \n[I 2023-11-01 05:27:36,391] Trial 30 finished with values: [5.687478200231261, 35.333944283423655] and parameters: {'x': 0.5516485104892888, 'y': 1.0571440161741277}. \n[I 2023-11-01 05:27:36,393] Trial 31 finished with values: [28.04552600502105, 21.119876530192975] and parameters: {'x': 1.260543013656981, 'y': 2.3286074834492476}. \n[I 2023-11-01 05:27:36,394] Trial 32 finished with values: [30.64573011395318, 22.969078974730163] and parameters: {'x': 2.641159335030117, 'y': 0.8280760203456962}. \n[I 2023-11-01 05:27:36,395] Trial 33 finished with values: [8.060719079012637, 36.032861617249] and parameters: {'x': 1.4065726147714208, 'y': 0.19165920047899487}. \n[I 2023-11-01 05:27:36,396] Trial 34 finished with values: [41.30132119675838, 14.996998773210656] and parameters: {'x': 2.1051061542173057, 'y': 2.4277269983805883}. \n[I 2023-11-01 05:27:36,397] Trial 35 finished with values: [47.783870118474354, 18.71256501114212] and parameters: {'x': 3.3019183583266525, 'y': 1.0214218935209942}. \n[I 2023-11-01 05:27:36,398] Trial 36 finished with values: [66.65925702633703, 8.943183122528902] and parameters: {'x': 2.9403067939291496, 'y': 2.831856319476386}. \n[I 2023-11-01 05:27:36,399] Trial 37 finished with values: [51.48046129319299, 12.314485347899614] and parameters: {'x': 2.3147595371660588, 'y': 2.7408034603738045}. \n[I 2023-11-01 05:27:36,400] Trial 38 finished with values: [81.42881566863866, 10.849107825451439] and parameters: {'x': 4.1267380349882705, 'y': 1.8240715741825522}. \n[I 2023-11-01 05:27:36,401] Trial 39 finished with values: [36.9837681845575, 27.287687607811353] and parameters: {'x': 3.0365391349254924, 'y': 0.15928630890730955}. \n[I 2023-11-01 05:27:36,402] Trial 40 finished with values: [29.332426815519604, 26.7530040620117] and parameters: {'x': 0.3763140815634053, 'y': 2.6816961826234142}. \n[I 2023-11-01 05:27:36,403] Trial 41 finished with values: [87.73788070192661, 9.624535143032022] and parameters: {'x': 4.238401501977823, 'y': 1.9925920012671399}. \n[I 2023-11-01 05:27:36,404] Trial 42 finished with values: [0.13013433719509454, 47.72643669974758] and parameters: {'x': 0.1698170909895952, 'y': 0.06079259746552357}. \n[I 2023-11-01 05:27:36,405] Trial 43 finished with values: [37.26370096972484, 18.499710641141675] and parameters: {'x': 2.7429889020901403, 'y': 1.3386325580388128}. \n[I 2023-11-01 05:27:36,406] Trial 44 finished with values: [13.436631125467603, 27.83902261359205] and parameters: {'x': 1.0493227421244637, 'y': 1.5026907746530211}. \n[I 2023-11-01 05:27:36,407] Trial 45 finished with values: [85.74332024368248, 8.665709802466688] and parameters: {'x': 4.070007509061263, 'y': 2.20700451678413}. \n[I 2023-11-01 05:27:36,408] Trial 46 finished with values: [37.54015511812928, 18.916379276061043] and parameters: {'x': 2.796891690779264, 'y': 1.2499742595678636}. \n[I 2023-11-01 05:27:36,409] Trial 47 finished with values: [79.52328288155621, 9.535960421810788] and parameters: {'x': 3.9319314586392338, 'y': 2.102554571218593}. \n[I 2023-11-01 05:27:36,410] Trial 48 finished with values: [43.41844774630513, 14.491352498384835] and parameters: {'x': 2.54930449556017, 'y': 2.087021448258975}. \n[I 2023-11-01 05:27:36,411] Trial 49 finished with values: [53.966493811107135, 12.747896651294909] and parameters: {'x': 3.0926115844858115, 'y': 1.981761095662376}. \n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_pareto_front\n:16: ExperimentalWarning:\n\nplot_pareto_front is experimental (supported from v2.8.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:27:36,609] A new study created in memory with name: no-name-66ef82cc-bf47-4e63-9ec8-5ce30034b173\n[I 2023-11-01 05:27:36,611] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:36,612] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,613] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,614] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,615] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,616] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,617] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,619] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,620] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,621] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,628] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,634] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,640] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,647] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,654] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,660] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,668] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,674] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,681] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,687] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,695] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,702] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,709] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,717] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,724] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,732] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,740] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,748] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,756] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:36,766] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[W 2023-11-01 05:27:36,767] Output figures of this Matplotlib-based `plot_rank` function would be different from those of the Plotly-based `plot_rank`.\n\u001b[2Kreading sources... [ 80%] reference/visualization/generated/optuna.visualization.matplotlib.plot_rank\n[I 2023-11-01 05:27:37,016] A new study created in memory with name: no-name-9f90c677-0c98-4e89-b2c7-d5dc34cbcc9d\n[I 2023-11-01 05:27:37,018] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:27:37,019] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,020] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,021] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,022] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,023] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,024] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,025] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:27:37,026] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 81%] reference/visualization/generated/optuna.visualization.matplotlib.plot_slice\n:14: ExperimentalWarning:\n\nplot_slice is experimental (supported from v2.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:27:37,290] A new study created in memory with name: no-name-0a8b1896-bc73-4ad9-8803-78650b44dbe6\n[I 2023-11-01 05:27:37,405] Trial 0 finished with value: 0.9101587301587302 and parameters: {'reg_alpha': 0.020802823315748106, 'reg_lambda': 1.4872446023656843e-08, 'num_leaves': 25, 'colsample_bytree': 0.5010904897196649, 'subsample': 0.7010858980967017, 'subsample_freq': 2, 'min_child_samples': 55}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,609] Trial 1 finished with value: 0.9830158730158731 and parameters: {'reg_alpha': 2.4304470742251595e-06, 'reg_lambda': 0.0044575618053916575, 'num_leaves': 213, 'colsample_bytree': 0.788486030283188, 'subsample': 0.9080199607377335, 'subsample_freq': 1, 'min_child_samples': 19}. Best is trial 0 with value: 0.9101587301587302.\n[I 2023-11-01 05:27:37,681] Trial 2 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 2.823704059971935, 'reg_lambda': 4.882839271611993e-07, 'num_leaves': 110, 'colsample_bytree': 0.4985052084440066, 'subsample': 0.43604148883008587, 'subsample_freq': 1, 'min_child_samples': 49}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,796] Trial 3 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 8.207767979083947e-05, 'reg_lambda': 0.7689648237204111, 'num_leaves': 127, 'colsample_bytree': 0.8340650550927962, 'subsample': 0.8575432944184982, 'subsample_freq': 3, 'min_child_samples': 52}. Best is trial 2 with value: 0.3995238095238095.\n[I 2023-11-01 05:27:37,879] Trial 4 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.00010447548068512174, 'reg_lambda': 5.607552014111951e-06, 'num_leaves': 75, 'colsample_bytree': 0.7241444026412496, 'subsample': 0.5538680316223129, 'subsample_freq': 3, 'min_child_samples': 69}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:37,958] Trial 5 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.007305198237134968, 'reg_lambda': 0.03972454927538197, 'num_leaves': 184, 'colsample_bytree': 0.5145625747940883, 'subsample': 0.47060434822452507, 'subsample_freq': 7, 'min_child_samples': 57}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,057] Trial 6 finished with value: 0.9552380952380952 and parameters: {'reg_alpha': 1.600525918153979, 'reg_lambda': 0.0010424476836628455, 'num_leaves': 4, 'colsample_bytree': 0.5955546621841911, 'subsample': 0.9935463044800025, 'subsample_freq': 3, 'min_child_samples': 66}. Best is trial 4 with value: 0.3985714285714286.\n[I 2023-11-01 05:27:38,105] Trial 7 finished with value: 0.33095238095238094 and parameters: {'reg_alpha': 1.7136326525379945e-06, 'reg_lambda': 0.0020685073662825132, 'num_leaves': 8, 'colsample_bytree': 0.8422455306525412, 'subsample': 0.43126463325809505, 'subsample_freq': 7, 'min_child_samples': 80}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,147] Trial 8 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 1.8991428556675624e-06, 'reg_lambda': 1.1695101587947678e-05, 'num_leaves': 98, 'colsample_bytree': 0.5268447454267631, 'subsample': 0.5970521689753902, 'subsample_freq': 7, 'min_child_samples': 76}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,226] Trial 9 finished with value: 0.6653968253968254 and parameters: {'reg_alpha': 0.09588871266884916, 'reg_lambda': 0.0030071541616178855, 'num_leaves': 237, 'colsample_bytree': 0.9724513716545737, 'subsample': 0.9004111969317279, 'subsample_freq': 4, 'min_child_samples': 68}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,310] Trial 10 finished with value: 0.3990476190476191 and parameters: {'reg_alpha': 2.4802521146131553e-08, 'reg_lambda': 8.57208509970731, 'num_leaves': 51, 'colsample_bytree': 0.9879740886790188, 'subsample': 0.4396467508747404, 'subsample_freq': 6, 'min_child_samples': 99}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,396] Trial 11 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 5.18156471930232e-07, 'reg_lambda': 1.4561965048177467e-05, 'num_leaves': 84, 'colsample_bytree': 0.42641203840203584, 'subsample': 0.5802381350751699, 'subsample_freq': 6, 'min_child_samples': 91}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,477] Trial 12 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 1.7255891564927782e-06, 'reg_lambda': 9.347391386382438e-05, 'num_leaves': 173, 'colsample_bytree': 0.6413440170895447, 'subsample': 0.6192169391123971, 'subsample_freq': 7, 'min_child_samples': 86}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,555] Trial 13 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 1.511848813819916e-08, 'reg_lambda': 9.046794108305647e-05, 'num_leaves': 45, 'colsample_bytree': 0.861634264505848, 'subsample': 0.40315613444580006, 'subsample_freq': 5, 'min_child_samples': 81}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,707] Trial 14 finished with value: 0.9663492063492063 and parameters: {'reg_alpha': 1.3396362948036937e-05, 'reg_lambda': 0.028417938733121456, 'num_leaves': 171, 'colsample_bytree': 0.6763570964277925, 'subsample': 0.5062504629396769, 'subsample_freq': 6, 'min_child_samples': 34}. Best is trial 7 with value: 0.33095238095238094.\n[I 2023-11-01 05:27:38,795] Trial 15 finished with value: 0.3185714285714286 and parameters: {'reg_alpha': 0.0008272623600883923, 'reg_lambda': 0.00023587393222315517, 'num_leaves': 106, 'colsample_bytree': 0.7285642858107121, 'subsample': 0.6362413706751974, 'subsample_freq': 7, 'min_child_samples': 75}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,050] Trial 16 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 0.0011210443279395068, 'reg_lambda': 0.00035227605740825203, 'num_leaves': 150, 'colsample_bytree': 0.7567828001534946, 'subsample': 0.6788867338601051, 'subsample_freq': 5, 'min_child_samples': 5}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,132] Trial 17 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.0009558472633215747, 'reg_lambda': 0.022163322927323897, 'num_leaves': 3, 'colsample_bytree': 0.8912230891049209, 'subsample': 0.5123873979155394, 'subsample_freq': 5, 'min_child_samples': 99}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,213] Trial 18 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0009768568602511927, 'reg_lambda': 0.04961137435384451, 'num_leaves': 59, 'colsample_bytree': 0.9228563437619528, 'subsample': 0.5001392711187913, 'subsample_freq': 5, 'min_child_samples': 98}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,296] Trial 19 finished with value: 0.3977777777777778 and parameters: {'reg_alpha': 0.0008442466648081521, 'reg_lambda': 0.3324491169064198, 'num_leaves': 138, 'colsample_bytree': 0.9058275197585157, 'subsample': 0.6690233304452042, 'subsample_freq': 4, 'min_child_samples': 91}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,388] Trial 20 finished with value: 0.39936507936507937 and parameters: {'reg_alpha': 0.005337599670253233, 'reg_lambda': 0.015733150820523692, 'num_leaves': 29, 'colsample_bytree': 0.7602422988283695, 'subsample': 0.7412433070992155, 'subsample_freq': 6, 'min_child_samples': 100}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,477] Trial 21 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 6.91844636495357e-05, 'reg_lambda': 0.0011603084538588143, 'num_leaves': 2, 'colsample_bytree': 0.821171931566306, 'subsample': 0.5321019453411879, 'subsample_freq': 7, 'min_child_samples': 78}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,563] Trial 22 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.00016113858329231922, 'reg_lambda': 0.005247305771277148, 'num_leaves': 22, 'colsample_bytree': 0.8853544915326373, 'subsample': 0.4722667656979572, 'subsample_freq': 6, 'min_child_samples': 85}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,643] Trial 23 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 1.2539335812166709e-05, 'reg_lambda': 0.0003690554189416908, 'num_leaves': 77, 'colsample_bytree': 0.7989698087475052, 'subsample': 0.5395415443523697, 'subsample_freq': 5, 'min_child_samples': 72}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,750] Trial 24 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.06781467837248094, 'reg_lambda': 0.006348136119417253, 'num_leaves': 36, 'colsample_bytree': 0.8506188174262972, 'subsample': 0.40681913317045304, 'subsample_freq': 7, 'min_child_samples': 43}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,836] Trial 25 finished with value: 0.39809523809523806 and parameters: {'reg_alpha': 0.0003367126795391215, 'reg_lambda': 0.10912974642661254, 'num_leaves': 63, 'colsample_bytree': 0.9325516792586187, 'subsample': 0.4967790908079089, 'subsample_freq': 6, 'min_child_samples': 92}. Best is trial 15 with value: 0.3185714285714286.\n[I 2023-11-01 05:27:39,944] Trial 26 finished with value: 0.30857142857142855 and parameters: {'reg_alpha': 0.004359623088482809, 'reg_lambda': 0.0015582342757323607, 'num_leaves': 2, 'colsample_bytree': 0.7174292292479896, 'subsample': 0.632375472527883, 'subsample_freq': 7, 'min_child_samples': 62}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,065] Trial 27 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.0033602604796661405, 'reg_lambda': 0.012118856773155282, 'num_leaves': 109, 'colsample_bytree': 0.7125257516252151, 'subsample': 0.6374252142433398, 'subsample_freq': 5, 'min_child_samples': 61}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,221] Trial 28 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 0.02366456090898287, 'reg_lambda': 0.0001402937417159503, 'num_leaves': 213, 'colsample_bytree': 0.6785715349281195, 'subsample': 0.5794123790150972, 'subsample_freq': 4, 'min_child_samples': 42}. Best is trial 26 with value: 0.30857142857142855.\n[I 2023-11-01 05:27:40,332] Trial 29 finished with value: 0.39873015873015877 and parameters: {'reg_alpha': 0.0154949579060849, 'reg_lambda': 0.0012365401450808678, 'num_leaves': 21, 'colsample_bytree': 0.7543235814977067, 'subsample': 0.7211791840585939, 'subsample_freq': 2, 'min_child_samples': 60}. Best is trial 26 with value: 0.30857142857142855.\n:27: ExperimentalWarning:\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,628] Trial 0 failed with value None.\n[I 2023-11-01 05:28:26,700] Trial 4 pruned. \n[W 2023-11-01 05:28:26,711] Trial 5 failed with parameters: {'x': 0.8133212540393712} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,713] Trial 5 failed with value None.\n[I 2023-11-01 05:28:26,738] Trial 7 finished with value: 0.05352196036560686 and parameters: {'x': 0.2313481367238709}. Best is trial 1 with value: 0.005206625907241657.\n[I 2023-11-01 05:28:26,755] Trial 6 pruned. \n[W 2023-11-01 05:28:26,833] Trial 8 failed with parameters: {'x': 0.9239459498475103} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,834] Trial 8 failed with value None.\n[I 2023-11-01 05:28:26,837] Trial 9 pruned. \n[I 2023-11-01 05:28:26,897] Trial 10 pruned. \n[W 2023-11-01 05:28:26,924] Trial 11 failed with parameters: {'x': 0.8551987868350652} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,925] Trial 11 failed with value None.\n[I 2023-11-01 05:28:26,979] Trial 13 pruned. \n[W 2023-11-01 05:28:26,998] Trial 12 failed with parameters: {'x': 0.9911578492965847} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:28:26,999] Trial 12 failed with value None.\n[I 2023-11-01 05:28:27,042] Trial 14 pruned. \n[I 2023-11-01 05:28:27,044] Trial 15 pruned. \n[I 2023-11-01 05:28:27,055] Trial 16 finished with value: 0.0003912288072136089 and parameters: {'x': 0.019779504726195975}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,065] Trial 17 finished with value: 0.0064446258844349305 and parameters: {'x': 0.08027842726682512}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,066] Trial 18 finished with value: 0.0006611867609524678 and parameters: {'x': 0.025713552087420124}. Best is trial 16 with value: 0.0003912288072136089.\n[I 2023-11-01 05:28:27,080] Trial 19 finished with value: 3.360066650607707e-07 and parameters: {'x': 0.000579660818980178}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,086] Trial 20 finished with value: 0.0028072064065485488 and parameters: {'x': 0.05298307660516279}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,107] Trial 21 finished with value: 0.04188065487647501 and parameters: {'x': 0.2046476358927095}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,114] Trial 22 finished with value: 0.034871164381552376 and parameters: {'x': 0.18673822421119993}. Best is trial 19 with value: 3.360066650607707e-07.\n[I 2023-11-01 05:28:27,120] Trial 24 finished with value: 1.9455270342588514e-07 and parameters: {'x': 0.0004410812889092952}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,132] Trial 23 finished with value: 0.03413748776444338 and parameters: {'x': 0.18476332905759027}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,154] Trial 25 finished with value: 0.07753575931023415 and parameters: {'x': 0.27845243635176575}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,165] Trial 27 finished with value: 4.597206650149628e-07 and parameters: {'x': 0.0006780270385574331}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,172] Trial 26 finished with value: 0.10309465613635696 and parameters: {'x': 0.3210835656590928}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,183] Trial 28 finished with value: 0.011415894404504787 and parameters: {'x': 0.10684518896283907}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,190] Trial 29 finished with value: 0.009964153025384823 and parameters: {'x': 0.09982060421268157}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,204] Trial 30 finished with value: 0.017954567289168513 and parameters: {'x': 0.1339946539574192}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,211] Trial 31 finished with value: 0.019134924319512223 and parameters: {'x': 0.13832904365863383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,219] Trial 33 finished with value: 0.00010107312293809022 and parameters: {'x': 0.010053512965033179}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,225] Trial 32 finished with value: 0.017195302134271635 and parameters: {'x': 0.1311308588177155}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,232] Trial 34 finished with value: 7.373605696000822e-05 and parameters: {'x': 0.008586970185112338}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,233] Trial 35 finished with value: 2.155401771425214e-06 and parameters: {'x': 0.0014681286631032084}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 37 finished with value: 2.4466887595101932e-05 and parameters: {'x': 0.004946401479368808}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,248] Trial 36 finished with value: 4.971382088600311e-05 and parameters: {'x': 0.0070508028540020255}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,268] Trial 38 finished with value: 0.005793629464194366 and parameters: {'x': 0.07611589495101773}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,270] Trial 39 finished with value: 0.007741358471979102 and parameters: {'x': 0.08798499003795535}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,308] Trial 41 finished with value: 0.058911309516360755 and parameters: {'x': 0.24271652089703485}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,309] Trial 40 finished with value: 0.06462248908090984 and parameters: {'x': 0.25420953774575383}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,339] Trial 42 finished with value: 0.02529648104228706 and parameters: {'x': 0.15904867507240372}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,341] Trial 43 finished with value: 0.026486938428839608 and parameters: {'x': 0.16274808271939675}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 44 finished with value: 0.00419242826021767 and parameters: {'x': 0.0647489633910665}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,358] Trial 45 finished with value: 0.004096609895858084 and parameters: {'x': 0.06400476463403396}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,371] Trial 46 finished with value: 4.3391678344985887e-07 and parameters: {'x': 0.0006587236017100487}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,373] Trial 47 finished with value: 0.0001380907165364237 and parameters: {'x': 0.011751200642335391}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,391] Trial 48 finished with value: 0.0026926276787657723 and parameters: {'x': 0.0518905355413275}. Best is trial 24 with value: 1.9455270342588514e-07.\n[I 2023-11-01 05:28:27,397] Trial 49 finished with value: 0.014389787777299384 and parameters: {'x': 0.11995744152531507}. Best is trial 24 with value: 1.9455270342588514e-07.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.matplotlib.plot_timeline\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:27,858] A new study created in memory with name: no-name-9473f68a-8282-4fcb-b66e-f971d6450b0c\n[I 2023-11-01 05:28:27,859] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:27,860] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,861] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,862] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,863] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,864] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,865] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,866] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,867] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,874] Trial 10 finished with value: 734.0822030665411 and parameters: {'x': -27.075490818571343, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,881] Trial 11 finished with value: 73.65352512080509 and parameters: {'x': 8.523703720848413, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,887] Trial 12 finished with value: 772.5301395134916 and parameters: {'x': -27.776431367500965, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,894] Trial 13 finished with value: 144.99637750321006 and parameters: {'x': 11.999849061684486, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,900] Trial 14 finished with value: 58.008999214248114 and parameters: {'x': -7.550430399271827, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,907] Trial 15 finished with value: 1813.5559443721502 and parameters: {'x': -42.574122943076, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,914] Trial 16 finished with value: 99.03717560874351 and parameters: {'x': -10.001858607716043, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,921] Trial 17 finished with value: 9671.11610067409 and parameters: {'x': 98.33674847519664, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,927] Trial 18 finished with value: 731.8040203733691 and parameters: {'x': 27.03338714207617, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,934] Trial 19 finished with value: 1940.8126679916945 and parameters: {'x': -44.06600354004995, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,941] Trial 20 finished with value: 22.671858597340137 and parameters: {'x': -4.6553043506671115, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,947] Trial 21 finished with value: 36.2737132672693 and parameters: {'x': -5.939167725133657, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,954] Trial 22 finished with value: 467.498830386074 and parameters: {'x': 21.598583990300707, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,960] Trial 23 finished with value: 57.683827568626214 and parameters: {'x': -7.5288662870731216, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,967] Trial 24 finished with value: 14.559465794510222 and parameters: {'x': 3.6823179920411846, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,974] Trial 25 finished with value: 1454.2889615335619 and parameters: {'x': 38.1220272484762, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,980] Trial 26 finished with value: 210.54412862953976 and parameters: {'x': 14.475639144077189, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,987] Trial 27 finished with value: 3133.9754124740953 and parameters: {'x': 55.97298823963301, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:27,994] Trial 28 finished with value: 583.7660288159207 and parameters: {'x': -24.181936002229445, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:28,001] Trial 29 finished with value: 31.445003865150788 and parameters: {'x': 5.607584494695625, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 82%] reference/visualization/generated/optuna.visualization.plot_contour\n[I 2023-11-01 05:28:28,236] A new study created in memory with name: x=[0,5), y=[0,5)\n[I 2023-11-01 05:28:28,237] Trial 0 finished with value: 9.098775784310966 and parameters: {'x': 3.85660321633373, 'y': 0.1037597467970075}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 1 finished with value: 11.468279264943558 and parameters: {'x': 3.168241174631377, 'y': 3.744019412693059}. Best is trial 0 with value: 9.098775784310966.\n[I 2023-11-01 05:28:28,238] Trial 2 finished with value: 8.26591744896594 and parameters: {'x': 2.4925350615129522, 'y': 1.1239832276542383}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,239] Trial 3 finished with value: 9.307353958700034 and parameters: {'x': 0.9903143237981199, 'y': 3.8026535609947936}. Best is trial 2 with value: 8.26591744896594.\n[I 2023-11-01 05:28:28,240] Trial 4 finished with value: 4.4107752374673055 and parameters: {'x': 0.8455541828126772, 'y': 0.44169907087005134}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,241] Trial 5 finished with value: 13.32581053856714 and parameters: {'x': 3.426799091838986, 'y': 4.766966730974683}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,242] Trial 6 finished with value: 7.762294992698612 and parameters: {'x': 0.019741331639572257, 'y': 2.560961316928883}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,243] Trial 7 finished with value: 10.462168809225723 and parameters: {'x': 4.063104808260568, 'y': 3.0626303341469407}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,244] Trial 8 finished with value: 10.766844213449511 and parameters: {'x': 3.6087765871589976, 'y': 1.4593803408531658}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,245] Trial 9 finished with value: 13.513529451283143 and parameters: {'x': 4.588870612564717, 'y': 3.572878916988453}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,246] Trial 10 finished with value: 8.477722801529927 and parameters: {'x': 2.7127218400563065, 'y': 0.7108502380076348}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,247] Trial 11 finished with value: 10.129432776476957 and parameters: {'x': 1.866703800257346, 'y': 3.3706680753317264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,248] Trial 12 finished with value: 8.366790606869595 and parameters: {'x': 2.2091658721149803, 'y': 2.1700699666664685}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,249] Trial 13 finished with value: 10.416955768145217 and parameters: {'x': 3.088834892346586, 'y': 2.5656912127719544}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,250] Trial 14 finished with value: 10.387909622465159 and parameters: {'x': 3.251985909657336, 'y': 3.005194767022722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 15 finished with value: 11.459718019586177 and parameters: {'x': 4.026115984163733, 'y': 2.608235761968171}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,251] Trial 16 finished with value: 12.18680554317172 and parameters: {'x': 4.5432444040433415, 'y': 1.5961804449427264}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,252] Trial 17 finished with value: 6.324395711691771 and parameters: {'x': 0.45229674635453687, 'y': 1.5035002831810167}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,253] Trial 18 finished with value: 10.780656392800164 and parameters: {'x': 0.5699218093177488, 'y': 4.143406631538383}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,254] Trial 19 finished with value: 8.416640220838426 and parameters: {'x': 0.23448159694624882, 'y': 3.1314357415569627}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,255] Trial 20 finished with value: 11.302576421368904 and parameters: {'x': 2.737930779596218, 'y': 4.096434978350343}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,256] Trial 21 finished with value: 10.499563087675314 and parameters: {'x': 0.9947376983940615, 'y': 4.284251512288666}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,257] Trial 22 finished with value: 10.513666838860214 and parameters: {'x': 1.7582631971604394, 'y': 3.773238457649286}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 23 finished with value: 11.97926994777533 and parameters: {'x': 1.4798085343983935, 'y': 4.419682397805931}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,258] Trial 24 finished with value: 6.380894606936472 and parameters: {'x': 1.627558189161244, 'y': 0.8250794885957424}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,259] Trial 25 finished with value: 6.685983992257508 and parameters: {'x': 1.9626462197329364, 'y': 0.4673018727932515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,260] Trial 26 finished with value: 10.125719905741311 and parameters: {'x': 4.105528289184642, 'y': 0.7557600982128193}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,261] Trial 27 finished with value: 11.573099481049313 and parameters: {'x': 1.920572243460998, 'y': 4.721303561194006}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,262] Trial 28 finished with value: 12.011941244892594 and parameters: {'x': 4.938127374509361, 'y': 2.2815227354739203}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,263] Trial 29 finished with value: 10.481651724828257 and parameters: {'x': 4.130614219213699, 'y': 1.2568706710352968}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,264] Trial 30 finished with value: 12.415913516504961 and parameters: {'x': 2.9868582411544216, 'y': 4.514158801658137}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,265] Trial 31 finished with value: 10.053592439013652 and parameters: {'x': 2.6727897440090755, 'y': 2.9510068149271147}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,266] Trial 32 finished with value: 5.886579856572837 and parameters: {'x': 0.19640883612693671, 'y': 1.7859087931726814}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 33 finished with value: 6.310127074999574 and parameters: {'x': 0.3980654507798209, 'y': 1.5272995917140912}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,267] Trial 34 finished with value: 10.63044720131769 and parameters: {'x': 1.65359655991066, 'y': 3.8691514810529792}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,268] Trial 35 finished with value: 6.399093285230432 and parameters: {'x': 0.19979604344988633, 'y': 2.1474608921581915}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,269] Trial 36 finished with value: 9.82714713251584 and parameters: {'x': 1.5746343592134415, 'y': 3.1824557153377233}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,270] Trial 37 finished with value: 6.040622694875182 and parameters: {'x': 1.7317357504001651, 'y': 0.2154867810249722}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 38 finished with value: 13.124359919044599 and parameters: {'x': 4.39957587258958, 'y': 3.816202935718405}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,271] Trial 39 finished with value: 11.621017540390913 and parameters: {'x': 4.390483213624291, 'y': 2.087545719196335}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,272] Trial 40 finished with value: 10.273148823731859 and parameters: {'x': 3.027887821968784, 'y': 2.567333137041442}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,273] Trial 41 finished with value: 8.74724695064551 and parameters: {'x': 2.989183239814868, 'y': 1.3110783056597515}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,274] Trial 42 finished with value: 5.703235939620228 and parameters: {'x': 1.504356544703536, 'y': 0.12699891025053034}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,275] Trial 43 finished with value: 6.8281049033658086 and parameters: {'x': 1.5153128032551737, 'y': 1.2103793770176368}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,276] Trial 44 finished with value: 9.889991012666522 and parameters: {'x': 2.787890943313221, 'y': 2.827535099440838}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 45 finished with value: 8.809099112861492 and parameters: {'x': 2.375661237075253, 'y': 1.4639898814475454}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,277] Trial 46 finished with value: 11.529514400367189 and parameters: {'x': 0.32125530347412223, 'y': 4.894095728788213}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,278] Trial 47 finished with value: 9.116346691166768 and parameters: {'x': 1.6985392181893184, 'y': 2.4752431544122717}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,279] Trial 48 finished with value: 11.665729583461987 and parameters: {'x': 4.885403629613409, 'y': 2.2038691245033326}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,280] Trial 49 finished with value: 9.283138260008634 and parameters: {'x': 1.591364027394756, 'y': 2.5989849293769005}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,281] Trial 50 finished with value: 11.688309982114646 and parameters: {'x': 2.8906821494123376, 'y': 4.269668752502432}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,282] Trial 51 finished with value: 7.7554312065139825 and parameters: {'x': 0.34048636768975016, 'y': 2.3226540388966628}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 52 finished with value: 12.275135396487016 and parameters: {'x': 3.909745593095742, 'y': 3.5930140519112514}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,283] Trial 53 finished with value: 7.599136984880452 and parameters: {'x': 2.9301099002658795, 'y': 0.18547206617203937}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,284] Trial 54 finished with value: 8.971518754151079 and parameters: {'x': 1.7532819564156648, 'y': 2.815953422463725}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,285] Trial 55 finished with value: 9.191843219831416 and parameters: {'x': 1.4986493621228143, 'y': 2.5616707663677465}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,286] Trial 56 finished with value: 9.633721562166217 and parameters: {'x': 3.3673346264236024, 'y': 0.7959686668904675}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,287] Trial 57 finished with value: 6.186229741277476 and parameters: {'x': 0.2523883507699881, 'y': 1.6890794353233973}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,288] Trial 58 finished with value: 4.552022343284264 and parameters: {'x': 0.5403188638972628, 'y': 0.8945140428554521}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,289] Trial 59 finished with value: 11.758020264004587 and parameters: {'x': 4.429135480838529, 'y': 1.826824856070579}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,290] Trial 60 finished with value: 9.65103717665648 and parameters: {'x': 1.0938467458976837, 'y': 3.762480851093014}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,291] Trial 61 finished with value: 10.404668371552354 and parameters: {'x': 0.5343979219678457, 'y': 3.723016203877803}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,292] Trial 62 finished with value: 9.807137735649274 and parameters: {'x': 2.3489264672024723, 'y': 2.991278356395546}. Best is trial 4 with value: 4.4107752374673055.\n[I 2023-11-01 05:28:28,293] Trial 63 finished with value: 4.297890789772584 and parameters: {'x': 0.7381009614264883, 'y': 0.9201741104657563}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,293] Trial 64 finished with value: 8.956435845330386 and parameters: {'x': 3.2253606323412094, 'y': 0.24314003131702788}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,294] Trial 65 finished with value: 8.694250835326496 and parameters: {'x': 1.2430625390138472, 'y': 2.7120425811400213}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,295] Trial 66 finished with value: 5.986545159935034 and parameters: {'x': 1.133866716350046, 'y': 1.9070576745231604}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,296] Trial 67 finished with value: 14.297386483409563 and parameters: {'x': 4.611163934517731, 'y': 4.626784364338884}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,297] Trial 68 finished with value: 10.180452207698272 and parameters: {'x': 2.8337496228749997, 'y': 2.667354424945013}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,298] Trial 69 finished with value: 10.407363938709986 and parameters: {'x': 0.07430012316614054, 'y': 4.889496317010025}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 70 finished with value: 10.440149099446987 and parameters: {'x': 2.8651445201659294, 'y': 3.95878498138312}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,299] Trial 71 finished with value: 12.32523091547919 and parameters: {'x': 2.8077868013818446, 'y': 4.3866762078246735}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,300] Trial 72 finished with value: 11.31269157398866 and parameters: {'x': 2.9209791426533775, 'y': 3.544249131844776}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,301] Trial 73 finished with value: 6.868040784289896 and parameters: {'x': 0.7426672567822928, 'y': 2.142253694839482}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,302] Trial 74 finished with value: 10.168253595722678 and parameters: {'x': 3.4694503317120584, 'y': 0.5230987226142658}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,303] Trial 75 finished with value: 6.875279830510534 and parameters: {'x': 2.1980261888729524, 'y': 0.8310107385226684}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,304] Trial 76 finished with value: 11.669355532080532 and parameters: {'x': 2.5348931463202367, 'y': 4.095179320681063}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 77 finished with value: 10.375729066395554 and parameters: {'x': 0.45053367362219265, 'y': 4.000343753470726}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,305] Trial 78 finished with value: 9.47494195262567 and parameters: {'x': 2.8256317697890228, 'y': 2.946738558403037}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,306] Trial 79 finished with value: 6.429800222532773 and parameters: {'x': 0.9905032860813445, 'y': 2.1805912766941713}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,307] Trial 80 finished with value: 5.784554009886445 and parameters: {'x': 1.4795188111041868, 'y': 0.18778837970838846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,308] Trial 81 finished with value: 6.944951718546044 and parameters: {'x': 0.15342420186473138, 'y': 2.2655250010061674}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,309] Trial 82 finished with value: 11.32465496841092 and parameters: {'x': 3.7243203847503388, 'y': 2.7864770311819846}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,310] Trial 83 finished with value: 5.814616800694608 and parameters: {'x': 1.9255679978274327, 'y': 0.8403639876630931}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 84 finished with value: 11.092120639966868 and parameters: {'x': 4.1913066035184645, 'y': 2.995258987307463}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,311] Trial 85 finished with value: 12.30613781768253 and parameters: {'x': 3.9135740912248558, 'y': 4.242545909473573}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,312] Trial 86 finished with value: 10.276422024397286 and parameters: {'x': 3.0158148793101742, 'y': 3.9053030864514104}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,313] Trial 87 finished with value: 7.479769890494953 and parameters: {'x': 3.0786843801678465, 'y': 0.10582595586077492}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,314] Trial 88 finished with value: 9.671206282931806 and parameters: {'x': 3.752323052437455, 'y': 0.8802106664184695}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,315] Trial 89 finished with value: 9.869658626214864 and parameters: {'x': 2.292571031186365, 'y': 2.5656135386612258}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,316] Trial 90 finished with value: 11.964499715377078 and parameters: {'x': 2.420104451434129, 'y': 4.2219289726967375}. Best is trial 63 with value: 4.297890789772584.\n[I 2023-11-01 05:28:28,317] Trial 91 finished with value: 2.826913907516392 and parameters: {'x': 0.874069474110597, 'y': 0.0731743755162495}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,317] Trial 92 finished with value: 12.799381162755227 and parameters: {'x': 4.24382035905616, 'y': 3.7133728864971705}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,318] Trial 93 finished with value: 8.415639605279267 and parameters: {'x': 2.283487676600861, 'y': 2.084492035246889}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,319] Trial 94 finished with value: 6.648507949382903 and parameters: {'x': 0.5836475547348163, 'y': 1.6933956649466986}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,320] Trial 95 finished with value: 10.321671031403987 and parameters: {'x': 0.4732952037182653, 'y': 3.579154363756571}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 96 finished with value: 4.476198346748607 and parameters: {'x': 0.3854270220801931, 'y': 1.0297512918448626}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,321] Trial 97 finished with value: 9.179908484929722 and parameters: {'x': 2.868881157256011, 'y': 1.4691577760188401}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,322] Trial 98 finished with value: 11.609756716580515 and parameters: {'x': 3.278633713572991, 'y': 4.017841738716098}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,323] Trial 99 finished with value: 6.625902168595072 and parameters: {'x': 1.7560675149820437, 'y': 0.4672018847188353}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,324] Trial 100 finished with value: 11.261545077172835 and parameters: {'x': 4.066580418354021, 'y': 3.9243335913847344}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,325] Trial 101 finished with value: 11.190968700537157 and parameters: {'x': 1.967095562182577, 'y': 4.322395969009766}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 102 finished with value: 6.911109890757974 and parameters: {'x': 1.9201538405786622, 'y': 1.2865144360250191}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,326] Trial 103 finished with value: 12.490683781539499 and parameters: {'x': 4.1470095991361795, 'y': 3.681913519192817}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,327] Trial 104 finished with value: 10.848166908046393 and parameters: {'x': 2.538004540274797, 'y': 3.2216330752070848}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,328] Trial 105 finished with value: 11.32542096737529 and parameters: {'x': 1.0659328268932406, 'y': 4.478544743517791}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,329] Trial 106 finished with value: 12.145433872665942 and parameters: {'x': 4.829731257539075, 'y': 1.5850078115289405}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,330] Trial 107 finished with value: 11.786981252421768 and parameters: {'x': 4.327763091136416, 'y': 1.5514185347005949}. Best is trial 91 with value: 2.826913907516392.\n[I 2023-11-01 05:28:28,331] Trial 108 finished with value: 2.0472944535777273 and parameters: {'x': 0.12631972715908546, 'y': 0.24597578886864313}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,331] Trial 109 finished with value: 4.145224959722373 and parameters: {'x': 0.9231341900713275, 'y': 0.34516670808627026}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,332] Trial 110 finished with value: 11.931360118539573 and parameters: {'x': 1.2873771170227155, 'y': 4.567908657853373}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,334] Trial 111 finished with value: 7.772705651810355 and parameters: {'x': 2.2892475598720523, 'y': 0.6510589473979744}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,335] Trial 112 finished with value: 9.524332905886311 and parameters: {'x': 4.0494583270008935, 'y': 2.01734920240333}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,336] Trial 113 finished with value: 10.520695532088595 and parameters: {'x': 0.12216322491582055, 'y': 4.284155213138763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,337] Trial 114 finished with value: 10.597438973670814 and parameters: {'x': 1.371474095076981, 'y': 3.5455298203599526}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 115 finished with value: 10.120097947889937 and parameters: {'x': 1.7788617141183165, 'y': 3.971545309132671}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,338] Trial 116 finished with value: 11.960450407585382 and parameters: {'x': 4.223094305719252, 'y': 2.690737585699792}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,339] Trial 117 finished with value: 8.587748682117635 and parameters: {'x': 2.795432582016292, 'y': 0.6125499071870993}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,340] Trial 118 finished with value: 7.369283296210424 and parameters: {'x': 1.8882095928704012, 'y': 2.1437366456452134}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,341] Trial 119 finished with value: 12.663827787679372 and parameters: {'x': 2.556043231427327, 'y': 4.458812849678472}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,342] Trial 120 finished with value: 7.650631541913702 and parameters: {'x': 1.5010530579700654, 'y': 1.9822093943922525}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 121 finished with value: 9.498157519309544 and parameters: {'x': 3.9663661651380706, 'y': 2.061380386767003}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,343] Trial 122 finished with value: 10.019682178888301 and parameters: {'x': 0.9243377499545619, 'y': 4.201236580441953}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,344] Trial 123 finished with value: 8.237633967855434 and parameters: {'x': 2.8463569985064425, 'y': 0.3002510277540982}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,345] Trial 124 finished with value: 10.781591638486919 and parameters: {'x': 4.944584870981005, 'y': 1.1439116660098265}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,346] Trial 125 finished with value: 8.621572297432854 and parameters: {'x': 3.0735085649008482, 'y': 1.8401334041772972}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,347] Trial 126 finished with value: 10.713009182969788 and parameters: {'x': 4.013879681741232, 'y': 3.1378092635281445}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 127 finished with value: 10.98074403397134 and parameters: {'x': 4.106082380991301, 'y': 1.441265693961082}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,348] Trial 128 finished with value: 9.024647633357716 and parameters: {'x': 1.3739756579638436, 'y': 3.00525945566255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,349] Trial 129 finished with value: 13.49082379516863 and parameters: {'x': 4.692570986046688, 'y': 3.5364815467071864}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,350] Trial 130 finished with value: 5.874821960577492 and parameters: {'x': 1.3170158247837875, 'y': 0.6116796055750251}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,351] Trial 131 finished with value: 12.140532436293423 and parameters: {'x': 2.2936211459493183, 'y': 4.8740624969833455}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 132 finished with value: 9.508596165882706 and parameters: {'x': 3.4028718722222235, 'y': 0.9662686614323052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,352] Trial 133 finished with value: 11.43232227635066 and parameters: {'x': 0.233696135806975, 'y': 4.763219683853119}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,353] Trial 134 finished with value: 12.909468873966272 and parameters: {'x': 4.2932450773421325, 'y': 4.139515878742856}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,354] Trial 135 finished with value: 11.717204018330282 and parameters: {'x': 4.819502614191414, 'y': 2.994682245363374}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,355] Trial 136 finished with value: 11.730163602366163 and parameters: {'x': 4.654579179238757, 'y': 0.733844071393634}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,356] Trial 137 finished with value: 6.653881018965677 and parameters: {'x': 0.569801543773461, 'y': 1.8601445108691723}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 138 finished with value: 10.741151207828954 and parameters: {'x': 3.832800632854534, 'y': 1.6057101573247974}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,357] Trial 139 finished with value: 8.041035108445248 and parameters: {'x': 3.1901754067231334, 'y': 0.04610550834939442}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,358] Trial 140 finished with value: 9.248413466368948 and parameters: {'x': 2.71732519237458, 'y': 1.6887732344259176}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,359] Trial 141 finished with value: 14.219077219048492 and parameters: {'x': 4.490121544247577, 'y': 4.703535192416116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,360] Trial 142 finished with value: 6.631265309603911 and parameters: {'x': 1.920609245767847, 'y': 1.9805889617029848}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 143 finished with value: 11.598473392731933 and parameters: {'x': 4.48639972409674, 'y': 0.2941118405092352}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,361] Trial 144 finished with value: 6.694767599306697 and parameters: {'x': 2.0268964421478453, 'y': 0.6508777031545621}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,362] Trial 145 finished with value: 10.288922686627453 and parameters: {'x': 0.4348470446230879, 'y': 3.919821434794939}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,363] Trial 146 finished with value: 9.21998684759554 and parameters: {'x': 1.5228667767331006, 'y': 2.9202793627763453}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,364] Trial 147 finished with value: 13.970932382384035 and parameters: {'x': 4.392330892133315, 'y': 4.403960303067703}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,365] Trial 148 finished with value: 10.220646476518713 and parameters: {'x': 3.004771036228382, 'y': 3.2261387284201657}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 149 finished with value: 6.025594798063533 and parameters: {'x': 0.28314101419053106, 'y': 1.487420484879609}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,366] Trial 150 finished with value: 9.686112989082387 and parameters: {'x': 3.458873037882333, 'y': 0.9451472642781766}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,367] Trial 151 finished with value: 11.477795880312842 and parameters: {'x': 4.015037683584489, 'y': 2.5738187492835642}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,368] Trial 152 finished with value: 9.536662274540596 and parameters: {'x': 3.7864302015780735, 'y': 0.8889437430854896}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,369] Trial 153 finished with value: 8.138475011363663 and parameters: {'x': 0.41310145647746377, 'y': 2.4103598486142923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,370] Trial 154 finished with value: 11.493703576527055 and parameters: {'x': 2.6442693968106306, 'y': 3.481541359044985}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 155 finished with value: 9.341702473870399 and parameters: {'x': 1.023808070150981, 'y': 3.356861649786817}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,371] Trial 156 finished with value: 9.45980967724605 and parameters: {'x': 3.966346626632103, 'y': 0.20868906258480535}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,372] Trial 157 finished with value: 13.378541634779003 and parameters: {'x': 4.816787528607454, 'y': 4.876963585866664}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,373] Trial 158 finished with value: 8.398878019226897 and parameters: {'x': 2.7533039211090755, 'y': 0.3245349120330482}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,374] Trial 159 finished with value: 5.671727248950585 and parameters: {'x': 1.7261839493092874, 'y': 0.1021498440574764}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,375] Trial 160 finished with value: 8.900670733919403 and parameters: {'x': 4.0042590489180805, 'y': 1.039635490660757}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 161 finished with value: 10.104130916382784 and parameters: {'x': 0.7162625545259099, 'y': 3.4994699226462638}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,376] Trial 162 finished with value: 5.315897263639183 and parameters: {'x': 0.28974903005027364, 'y': 1.2830378342449826}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,377] Trial 163 finished with value: 12.628574431426383 and parameters: {'x': 2.551658922744225, 'y': 4.97629392410128}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,378] Trial 164 finished with value: 7.447601498443641 and parameters: {'x': 0.7325783965840083, 'y': 2.247573887993382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,379] Trial 165 finished with value: 8.717294962338975 and parameters: {'x': 3.007201880914031, 'y': 0.48636247069940075}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 166 finished with value: 10.747736503597993 and parameters: {'x': 1.4436744027098762, 'y': 3.603999509537035}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,380] Trial 167 finished with value: 11.672696062044226 and parameters: {'x': 2.754030320204744, 'y': 4.192885075269436}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,381] Trial 168 finished with value: 7.3765020440620965 and parameters: {'x': 2.901656757339883, 'y': 0.9228586830481306}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,382] Trial 169 finished with value: 12.413208648223295 and parameters: {'x': 3.077510585292704, 'y': 4.434775442343052}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,383] Trial 170 finished with value: 10.541150607138487 and parameters: {'x': 2.5839463891022096, 'y': 3.130718345632117}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,384] Trial 171 finished with value: 12.756318698680404 and parameters: {'x': 2.525295587782306, 'y': 4.5483128829327715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 172 finished with value: 9.05472987128604 and parameters: {'x': 2.0665232778228515, 'y': 2.677343581458615}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,385] Trial 173 finished with value: 6.621158640130886 and parameters: {'x': 1.713215627822633, 'y': 0.6478838857163005}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,386] Trial 174 finished with value: 13.166998514264037 and parameters: {'x': 3.3141087569999437, 'y': 4.678350009978248}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,387] Trial 175 finished with value: 11.37039215348121 and parameters: {'x': 3.06364590964527, 'y': 4.213692497248822}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,388] Trial 176 finished with value: 11.421697035283117 and parameters: {'x': 1.0895421810142136, 'y': 4.515858698649607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 177 finished with value: 3.399518378372946 and parameters: {'x': 0.04884988559842873, 'y': 1.1290636333171737}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,389] Trial 178 finished with value: 11.790711998551938 and parameters: {'x': 0.6602756363599344, 'y': 4.537714732580255}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,390] Trial 179 finished with value: 12.457058855171512 and parameters: {'x': 4.5511531832988155, 'y': 2.9052895356745245}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,391] Trial 180 finished with value: 4.270689977380076 and parameters: {'x': 0.4374652626195269, 'y': 0.5843971978719908}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,392] Trial 181 finished with value: 12.240165558984787 and parameters: {'x': 3.8553562765392724, 'y': 3.6639763439826103}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,393] Trial 182 finished with value: 6.590515277343432 and parameters: {'x': 0.435641784662561, 'y': 1.7873159905994234}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,394] Trial 183 finished with value: 10.17214430542262 and parameters: {'x': 3.8660581087613077, 'y': 0.6573580080587804}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 184 finished with value: 11.43917166431362 and parameters: {'x': 2.68916216926987, 'y': 3.7736178311347457}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,395] Trial 185 finished with value: 8.969937960798413 and parameters: {'x': 1.3626308799556757, 'y': 2.8325849795366413}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,396] Trial 186 finished with value: 10.041893106125363 and parameters: {'x': 2.3834248535833096, 'y': 2.7831034627091973}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,397] Trial 187 finished with value: 10.826547273250752 and parameters: {'x': 2.2036852870690056, 'y': 3.4686868213095585}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,398] Trial 188 finished with value: 12.426924191010318 and parameters: {'x': 3.5911859015982364, 'y': 3.7819117894779923}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,399] Trial 189 finished with value: 9.532608489210268 and parameters: {'x': 0.18661004505669543, 'y': 3.394176984464907}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,400] Trial 190 finished with value: 8.135150111944762 and parameters: {'x': 2.386104004539672, 'y': 0.5008569383546607}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 191 finished with value: 11.234871968202231 and parameters: {'x': 3.070981168573452, 'y': 4.18957254483098}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,401] Trial 192 finished with value: 10.837341646724049 and parameters: {'x': 3.6694701882941674, 'y': 1.6078279135595364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,402] Trial 193 finished with value: 2.853729868628715 and parameters: {'x': 0.33927655543450175, 'y': 0.1866511853213626}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,403] Trial 194 finished with value: 8.102320702453188 and parameters: {'x': 2.7956265198024104, 'y': 0.8042634963427392}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,404] Trial 195 finished with value: 6.2265106786220485 and parameters: {'x': 1.3394409285104592, 'y': 1.1785597821799847}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,405] Trial 196 finished with value: 3.2200767735665927 and parameters: {'x': 0.0967373080891365, 'y': 0.7584321219748957}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,406] Trial 197 finished with value: 10.792978685682154 and parameters: {'x': 0.1695125656628088, 'y': 4.909174290439391}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 198 finished with value: 10.474479619963939 and parameters: {'x': 1.8024265507702935, 'y': 4.127322642810085}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,407] Trial 199 finished with value: 7.000149994893448 and parameters: {'x': 2.0611870425872763, 'y': 1.2658957315496995}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,408] Trial 200 finished with value: 9.720250252035754 and parameters: {'x': 1.1835543824008021, 'y': 3.865577996383569}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,409] Trial 201 finished with value: 12.227465780083314 and parameters: {'x': 3.3562845256281584, 'y': 3.531654426003335}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,410] Trial 202 finished with value: 12.210582618377428 and parameters: {'x': 4.265777065952011, 'y': 2.6102478341800395}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 203 finished with value: 9.417005707712555 and parameters: {'x': 2.2138482666072563, 'y': 2.7687422062775187}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,411] Trial 204 finished with value: 11.469682332813566 and parameters: {'x': 3.25997424203055, 'y': 3.942769372376201}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,412] Trial 205 finished with value: 12.079734998646657 and parameters: {'x': 4.461347258463439, 'y': 1.5455257933952686}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,413] Trial 206 finished with value: 10.242782580711673 and parameters: {'x': 0.6780488613353464, 'y': 3.7546332592209364}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,414] Trial 207 finished with value: 11.349746970151045 and parameters: {'x': 2.634166107685379, 'y': 3.9236929038023707}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,415] Trial 208 finished with value: 10.85409333443086 and parameters: {'x': 2.1496305142828613, 'y': 4.19423293806763}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 209 finished with value: 8.748226607352638 and parameters: {'x': 2.6867701271181477, 'y': 1.2521196657508715}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,416] Trial 210 finished with value: 3.6675219100206 and parameters: {'x': 0.2944700572038689, 'y': 0.4597464245382382}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,417] Trial 211 finished with value: 6.733554910774435 and parameters: {'x': 0.8709997157072319, 'y': 2.1962717529913767}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,418] Trial 212 finished with value: 13.275572772621532 and parameters: {'x': 4.054671125375529, 'y': 4.552010618031673}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,419] Trial 213 finished with value: 9.156372510625387 and parameters: {'x': 2.8804535600599386, 'y': 1.455772148901746}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 214 finished with value: 11.053685497303166 and parameters: {'x': 3.258931858906078, 'y': 3.1896035037778403}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,420] Trial 215 finished with value: 12.688867058298401 and parameters: {'x': 2.5178736985866528, 'y': 4.827763578108981}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,421] Trial 216 finished with value: 13.143915044023823 and parameters: {'x': 4.033455748052451, 'y': 4.642596782018086}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,422] Trial 217 finished with value: 11.501118854064435 and parameters: {'x': 3.0696756333221895, 'y': 4.910019581715506}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,423] Trial 218 finished with value: 9.618849650879131 and parameters: {'x': 3.574939779226631, 'y': 0.043296357086455295}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,424] Trial 219 finished with value: 11.337201623088333 and parameters: {'x': 1.4407279049690558, 'y': 4.206993287509106}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,425] Trial 220 finished with value: 6.882791405849485 and parameters: {'x': 2.215885435136737, 'y': 0.8652486173830182}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 221 finished with value: 10.356085023005411 and parameters: {'x': 0.5726355611313177, 'y': 3.9894029801061537}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,426] Trial 222 finished with value: 10.902930543766338 and parameters: {'x': 3.244525757228069, 'y': 2.50872999073498}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,427] Trial 223 finished with value: 9.72674798257857 and parameters: {'x': 1.428201041160826, 'y': 3.1834791424269584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,428] Trial 224 finished with value: 8.999635175804276 and parameters: {'x': 1.8417095266511174, 'y': 2.6976927167612597}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,429] Trial 225 finished with value: 12.342284304379254 and parameters: {'x': 3.810334009899379, 'y': 4.199437405771903}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,430] Trial 226 finished with value: 8.504027200451612 and parameters: {'x': 0.5247870601084398, 'y': 2.553156541729579}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 227 finished with value: 9.080756473737205 and parameters: {'x': 3.2274433137208787, 'y': 0.7653340712632956}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,431] Trial 228 finished with value: 10.498147057144351 and parameters: {'x': 0.008798245521798864, 'y': 4.8352287661502515}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,432] Trial 229 finished with value: 10.625090716792682 and parameters: {'x': 4.039332666325461, 'y': 1.3703379468173575}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,433] Trial 230 finished with value: 6.1355422884542605 and parameters: {'x': 1.3954480353606296, 'y': 0.6033982071098909}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,435] Trial 231 finished with value: 12.682917751678975 and parameters: {'x': 2.403441324954285, 'y': 4.661509893812813}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,436] Trial 232 finished with value: 11.774995548643213 and parameters: {'x': 4.574637128841343, 'y': 1.219375479879055}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,437] Trial 233 finished with value: 10.978375842604487 and parameters: {'x': 1.9742914820793693, 'y': 4.851197651132945}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,438] Trial 234 finished with value: 12.119938844650308 and parameters: {'x': 1.378098168018807, 'y': 4.6892472043320685}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,439] Trial 235 finished with value: 13.137380053631484 and parameters: {'x': 3.845060785117532, 'y': 4.423593440530303}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,440] Trial 236 finished with value: 11.31174382971022 and parameters: {'x': 4.355024876220002, 'y': 0.7323547961340754}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 237 finished with value: 13.188985764251004 and parameters: {'x': 3.9459439396258817, 'y': 4.546111228357549}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,441] Trial 238 finished with value: 12.775291947108045 and parameters: {'x': 4.190852742653525, 'y': 3.5601559319358116}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,442] Trial 239 finished with value: 7.707597241407441 and parameters: {'x': 1.536897092687322, 'y': 1.7689227738549467}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,443] Trial 240 finished with value: 5.22672624314151 and parameters: {'x': 1.1817669761188916, 'y': 0.4490581953161277}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,444] Trial 241 finished with value: 7.510297578894374 and parameters: {'x': 0.9723908716101909, 'y': 3.079039376835584}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,445] Trial 242 finished with value: 13.44024542713433 and parameters: {'x': 4.660418377825547, 'y': 3.4554197489155487}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,446] Trial 243 finished with value: 8.844390826703956 and parameters: {'x': 2.8142352335212815, 'y': 1.3187789770627112}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 244 finished with value: 11.40539149996344 and parameters: {'x': 2.6357344044248325, 'y': 4.021914573545422}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,447] Trial 245 finished with value: 6.133436500818917 and parameters: {'x': 1.4753794695299933, 'y': 0.9166927527975044}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,448] Trial 246 finished with value: 9.542874483876695 and parameters: {'x': 0.09866229753310307, 'y': 3.716606159862748}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,449] Trial 247 finished with value: 6.48812817105026 and parameters: {'x': 0.191467020929183, 'y': 2.1683983448692428}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,450] Trial 248 finished with value: 9.554429765837991 and parameters: {'x': 4.1604238065637436, 'y': 0.06729279249878872}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,451] Trial 249 finished with value: 10.10757671940421 and parameters: {'x': 2.546676957570693, 'y': 2.397743500706264}. Best is trial 108 with value: 2.0472944535777273.\n[I 2023-11-01 05:28:28,452] Trial 250 finished with value: 1.0107616991357382 and parameters: {'x': 0.14827470398864118, 'y': 0.05714263412033127}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,452] Trial 251 finished with value: 6.323876055572224 and parameters: {'x': 1.6592200011724718, 'y': 0.30715539302647477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,453] Trial 252 finished with value: 12.27777005427824 and parameters: {'x': 2.990867540282372, 'y': 4.4296012676131165}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,454] Trial 253 finished with value: 5.888565518184436 and parameters: {'x': 2.0606688768197037, 'y': 0.19136099451097843}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,455] Trial 254 finished with value: 3.846931736921775 and parameters: {'x': 0.40421201895402825, 'y': 0.4095727115092429}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,456] Trial 255 finished with value: 11.116741954263512 and parameters: {'x': 4.046836669107675, 'y': 4.003470014424989}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,457] Trial 256 finished with value: 10.548427810995527 and parameters: {'x': 0.08454905677353852, 'y': 4.306471626153089}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 257 finished with value: 11.794532699469258 and parameters: {'x': 4.556501121762242, 'y': 2.0043834231758106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,458] Trial 258 finished with value: 11.358371336061872 and parameters: {'x': 1.4344534916885388, 'y': 4.2152244263191925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,459] Trial 259 finished with value: 8.604726890176462 and parameters: {'x': 3.0852227648870825, 'y': 0.702993633926971}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,460] Trial 260 finished with value: 10.368046930771534 and parameters: {'x': 1.1437780685795795, 'y': 4.20748985587598}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,461] Trial 261 finished with value: 10.292732211355425 and parameters: {'x': 4.22179236754099, 'y': 1.1007299669031934}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,462] Trial 262 finished with value: 11.369252561448086 and parameters: {'x': 4.05568819876081, 'y': 2.679767669445578}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 263 finished with value: 10.280651858444699 and parameters: {'x': 3.052142244912166, 'y': 2.6193494156314086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,463] Trial 264 finished with value: 8.07278439807948 and parameters: {'x': 3.1981457424778132, 'y': 0.025781740169585343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,464] Trial 265 finished with value: 9.556500701329405 and parameters: {'x': 0.12369391707809763, 'y': 3.4501319265785617}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,465] Trial 266 finished with value: 9.816116481887354 and parameters: {'x': 0.857965097811067, 'y': 3.469653368443282}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,466] Trial 267 finished with value: 5.842310943888105 and parameters: {'x': 1.426328115609064, 'y': 0.27552960390844206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,467] Trial 268 finished with value: 9.184290769515863 and parameters: {'x': 2.911114512930047, 'y': 1.4790936328279773}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 269 finished with value: 12.106973431816996 and parameters: {'x': 1.6140806778765233, 'y': 4.834946939274982}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,468] Trial 270 finished with value: 6.055173789253882 and parameters: {'x': 0.9746733239154337, 'y': 1.7369825257280702}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,469] Trial 271 finished with value: 6.801636111260548 and parameters: {'x': 0.5200703255535455, 'y': 2.0089092623724447}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,470] Trial 272 finished with value: 8.431382325178696 and parameters: {'x': 0.46423822543645576, 'y': 2.5242190323084963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,471] Trial 273 finished with value: 9.429375698322708 and parameters: {'x': 3.712953704723704, 'y': 0.026452545846914477}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,472] Trial 274 finished with value: 3.601690824054902 and parameters: {'x': 0.45080584422510395, 'y': 0.2809199045597016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 275 finished with value: 13.867914662524237 and parameters: {'x': 4.421628316832168, 'y': 4.927929283264253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,473] Trial 276 finished with value: 8.12543959172015 and parameters: {'x': 2.6008734281374934, 'y': 0.9920871476639787}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,474] Trial 277 finished with value: 13.061611962615949 and parameters: {'x': 4.666741580415096, 'y': 3.2729910167106846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,475] Trial 278 finished with value: 11.43329057734574 and parameters: {'x': 3.9589587358004352, 'y': 2.556078393056895}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,476] Trial 279 finished with value: 10.536218642414656 and parameters: {'x': 3.9410594618961015, 'y': 1.6739836583743362}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,477] Trial 280 finished with value: 11.836721075355921 and parameters: {'x': 0.5662656720869486, 'y': 4.524069883514123}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,478] Trial 281 finished with value: 2.56045959627064 and parameters: {'x': 0.021119567542035034, 'y': 0.36751940303380193}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 282 finished with value: 11.83237063871328 and parameters: {'x': 0.6614568197768117, 'y': 4.7107495963735}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,479] Trial 283 finished with value: 6.367933259946817 and parameters: {'x': 1.514648431213112, 'y': 1.066565255901516}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,480] Trial 284 finished with value: 5.672598765407816 and parameters: {'x': 1.2783127625776287, 'y': 0.4796003339718996}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,481] Trial 285 finished with value: 10.385824371877787 and parameters: {'x': 2.0089894149954834, 'y': 3.655138201778497}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,482] Trial 286 finished with value: 9.468906639144176 and parameters: {'x': 3.2410496762079544, 'y': 1.2542279041725952}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,483] Trial 287 finished with value: 8.275616859112345 and parameters: {'x': 1.1371945697591408, 'y': 2.4790807917023434}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 288 finished with value: 12.332042617986879 and parameters: {'x': 4.323824833914893, 'y': 3.1703187656142324}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,484] Trial 289 finished with value: 10.616297086619696 and parameters: {'x': 3.7724623745413237, 'y': 2.1856159563386592}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,485] Trial 290 finished with value: 10.436104291698209 and parameters: {'x': 2.001060451213909, 'y': 3.6145815697262718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,486] Trial 291 finished with value: 8.794036139572007 and parameters: {'x': 1.861842897061573, 'y': 2.7629901519965023}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,487] Trial 292 finished with value: 8.543717978852516 and parameters: {'x': 0.40231808678595715, 'y': 2.97137783551767}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,488] Trial 293 finished with value: 10.720706351202566 and parameters: {'x': 1.404607334666036, 'y': 3.712237931572004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,489] Trial 294 finished with value: 10.791279999427607 and parameters: {'x': 1.4941359832634156, 'y': 3.787683420855808}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 295 finished with value: 3.3759630562706633 and parameters: {'x': 1.1318006900942001, 'y': 0.022038224615346658}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,490] Trial 296 finished with value: 6.328225222651152 and parameters: {'x': 0.6989014049359793, 'y': 1.4788185112007963}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,491] Trial 297 finished with value: 7.859824043178897 and parameters: {'x': 0.9779690812537833, 'y': 2.7444101892144577}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,492] Trial 298 finished with value: 9.03281296423037 and parameters: {'x': 1.0499608504502294, 'y': 3.8924608513935106}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,493] Trial 299 finished with value: 10.620615567321307 and parameters: {'x': 2.423399515211379, 'y': 3.1967019636164173}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,494] Trial 300 finished with value: 11.516797528464172 and parameters: {'x': 0.8384815371736137, 'y': 4.623413018911441}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,495] Trial 301 finished with value: 10.111886767394223 and parameters: {'x': 3.586699756816521, 'y': 0.7740680574908343}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,496] Trial 302 finished with value: 9.836637987623748 and parameters: {'x': 3.6181680290969664, 'y': 0.932049629125622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 303 finished with value: 9.558754652272322 and parameters: {'x': 4.148322826217383, 'y': 0.9832088166987718}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,497] Trial 304 finished with value: 12.425351652364135 and parameters: {'x': 4.806503345558579, 'y': 2.7379879240822897}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,498] Trial 305 finished with value: 4.323918901870375 and parameters: {'x': 1.114317998680301, 'y': 1.0636334525707207}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,499] Trial 306 finished with value: 10.305612608299866 and parameters: {'x': 3.1399398120322, 'y': 3.16638064574976}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,500] Trial 307 finished with value: 10.97430213769254 and parameters: {'x': 1.516395186429309, 'y': 4.081838757267333}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,501] Trial 308 finished with value: 9.870730647526344 and parameters: {'x': 2.0952835850444718, 'y': 4.069291426169951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,502] Trial 309 finished with value: 11.759512309986066 and parameters: {'x': 1.3260758528051553, 'y': 4.917127357017433}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 310 finished with value: 11.981160675499067 and parameters: {'x': 4.361526613299537, 'y': 2.242622946824728}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,503] Trial 311 finished with value: 5.876524131282984 and parameters: {'x': 1.676922549236917, 'y': 0.1485302699169916}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,504] Trial 312 finished with value: 13.102557317214668 and parameters: {'x': 4.954683743247883, 'y': 3.404747624152946}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,505] Trial 313 finished with value: 3.556361695609432 and parameters: {'x': 0.9457909320079672, 'y': 0.2252277474858655}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,506] Trial 314 finished with value: 8.87521749375287 and parameters: {'x': 0.0656977268124953, 'y': 3.309053083147978}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,507] Trial 315 finished with value: 6.476920544203612 and parameters: {'x': 0.5375617234826391, 'y': 1.5497881965234401}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,508] Trial 316 finished with value: 6.474013023556381 and parameters: {'x': 1.5397372414690502, 'y': 0.5873611308241922}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,509] Trial 317 finished with value: 13.685574803390994 and parameters: {'x': 4.734657103975001, 'y': 4.886952746178025}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,510] Trial 318 finished with value: 13.186159803321855 and parameters: {'x': 4.522396271343545, 'y': 3.980900747325177}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 319 finished with value: 10.182630143544603 and parameters: {'x': 0.32714711433914023, 'y': 3.5851931299846216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,511] Trial 320 finished with value: 7.545386493181928 and parameters: {'x': 2.2795521713986853, 'y': 0.7574185647525072}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,512] Trial 321 finished with value: 8.638261103686963 and parameters: {'x': 3.2336009756118003, 'y': 0.14617285939798774}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,513] Trial 322 finished with value: 13.291024791731683 and parameters: {'x': 3.7676043625502604, 'y': 4.448664730450772}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,514] Trial 323 finished with value: 5.694105094624511 and parameters: {'x': 0.05190019638577792, 'y': 1.6371392140332086}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,515] Trial 324 finished with value: 10.783326963098192 and parameters: {'x': 4.142455457362445, 'y': 0.5629879698020956}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,516] Trial 325 finished with value: 9.235517675024784 and parameters: {'x': 0.12347868956855801, 'y': 4.071767644361329}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,517] Trial 326 finished with value: 6.097217281302395 and parameters: {'x': 1.2445263598758256, 'y': 1.2459829781456622}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,518] Trial 327 finished with value: 5.959002451181533 and parameters: {'x': 0.7911840003011694, 'y': 1.3802797427861135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 328 finished with value: 7.483850239123026 and parameters: {'x': 2.14355172786834, 'y': 1.2921090270223545}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,519] Trial 329 finished with value: 7.465298730631504 and parameters: {'x': 1.8347352105276098, 'y': 1.746477966487205}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,520] Trial 330 finished with value: 7.702404747451398 and parameters: {'x': 1.66517890218663, 'y': 1.5168359888758993}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,521] Trial 331 finished with value: 7.329359741427874 and parameters: {'x': 1.575636430769551, 'y': 1.351125886959632}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,522] Trial 332 finished with value: 14.078439072449353 and parameters: {'x': 4.501473093762016, 'y': 4.834871016468915}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,523] Trial 333 finished with value: 11.805430242079208 and parameters: {'x': 4.483492736708329, 'y': 1.8663768989833134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,524] Trial 334 finished with value: 10.047661277193004 and parameters: {'x': 3.241396081360119, 'y': 1.5572090773062781}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,525] Trial 335 finished with value: 11.15966514900903 and parameters: {'x': 4.049860509608515, 'y': 4.023864483544081}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,526] Trial 336 finished with value: 10.351940922778217 and parameters: {'x': 3.9720884433516837, 'y': 0.5571758641568014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,527] Trial 337 finished with value: 11.312331656251716 and parameters: {'x': 4.057990718166497, 'y': 3.8977616929827925}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 338 finished with value: 12.006578213933567 and parameters: {'x': 4.425400775488195, 'y': 1.612105259116436}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,528] Trial 339 finished with value: 4.546941065900725 and parameters: {'x': 0.5358271586999214, 'y': 0.8062487863403994}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,529] Trial 340 finished with value: 12.265954484314824 and parameters: {'x': 3.3639318073143447, 'y': 3.5707494667728037}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,530] Trial 341 finished with value: 9.686972424965605 and parameters: {'x': 1.1861710149027471, 'y': 4.028586842399676}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,531] Trial 342 finished with value: 13.975807137190671 and parameters: {'x': 4.59148148699102, 'y': 4.923109231094016}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,532] Trial 343 finished with value: 12.615031694753085 and parameters: {'x': 4.985235725102164, 'y': 2.5796198033147206}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,533] Trial 344 finished with value: 10.144438364863607 and parameters: {'x': 3.5004215430859222, 'y': 0.38279387609597704}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,534] Trial 345 finished with value: 13.285695130939878 and parameters: {'x': 4.5057074837582505, 'y': 4.0679132355585885}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,536] Trial 346 finished with value: 11.478174070108826 and parameters: {'x': 1.7953085662528945, 'y': 4.878518685464871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 347 finished with value: 5.066670251181307 and parameters: {'x': 1.9299304849809777, 'y': 0.0810469599552216}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,537] Trial 348 finished with value: 7.725318776920252 and parameters: {'x': 0.09337227681652627, 'y': 2.7206977168107755}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,538] Trial 349 finished with value: 6.533854655052597 and parameters: {'x': 2.2157315861663758, 'y': 0.12850073723539135}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,539] Trial 350 finished with value: 7.2859343683842965 and parameters: {'x': 1.8415225727936901, 'y': 2.1016025395545164}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,540] Trial 351 finished with value: 10.684908763016509 and parameters: {'x': 2.0270198062608795, 'y': 4.990388323243462}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,541] Trial 352 finished with value: 6.960187867889932 and parameters: {'x': 0.7833768772095029, 'y': 2.184794533969097}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,542] Trial 353 finished with value: 11.914386023386182 and parameters: {'x': 1.3511632715491224, 'y': 4.844817182998316}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,543] Trial 354 finished with value: 11.293224743723567 and parameters: {'x': 2.949045207579127, 'y': 3.5209321207041686}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,544] Trial 355 finished with value: 11.743346380615318 and parameters: {'x': 3.2496833610633677, 'y': 3.7770354167726987}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,545] Trial 356 finished with value: 11.679458875312944 and parameters: {'x': 4.426571355138362, 'y': 1.2652636739771244}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,546] Trial 357 finished with value: 7.773193283576287 and parameters: {'x': 1.1399690325804452, 'y': 3.013208541388202}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 358 finished with value: 10.168683800840451 and parameters: {'x': 1.1808208021313833, 'y': 3.6549315019705926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,547] Trial 359 finished with value: 9.62287503614435 and parameters: {'x': 3.3199945879638477, 'y': 1.1963746011645409}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,548] Trial 360 finished with value: 6.263740157827893 and parameters: {'x': 0.9295736477647659, 'y': 1.5638785802177801}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,549] Trial 361 finished with value: 8.422765161329606 and parameters: {'x': 1.8316448318363294, 'y': 2.949533951061176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,550] Trial 362 finished with value: 10.768903724134223 and parameters: {'x': 3.796194699561968, 'y': 1.6117538913772222}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,551] Trial 363 finished with value: 10.175476140465943 and parameters: {'x': 2.510110725524435, 'y': 2.9191553264881014}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,552] Trial 364 finished with value: 10.554224493626993 and parameters: {'x': 1.3330044128659595, 'y': 3.56923322272833}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,553] Trial 365 finished with value: 10.428277943619925 and parameters: {'x': 2.2863555352433185, 'y': 3.251156861961829}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,554] Trial 366 finished with value: 9.397435687476593 and parameters: {'x': 2.513344192595443, 'y': 2.15696782708575}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,555] Trial 367 finished with value: 9.640255388206626 and parameters: {'x': 3.5888323054397455, 'y': 0.061804212855827156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,556] Trial 368 finished with value: 8.503077368268185 and parameters: {'x': 0.4014718752766372, 'y': 2.881864726744231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 369 finished with value: 10.89528845137693 and parameters: {'x': 4.06810858236602, 'y': 2.807681168241926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,557] Trial 370 finished with value: 7.572310130022002 and parameters: {'x': 3.017958480806348, 'y': 1.1029041260820605}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,558] Trial 371 finished with value: 11.35822683786316 and parameters: {'x': 4.597705213070565, 'y': 1.0275035020467445}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,559] Trial 372 finished with value: 10.334301783289174 and parameters: {'x': 3.441692822984785, 'y': 1.8760491085648985}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,560] Trial 373 finished with value: 9.366825163062781 and parameters: {'x': 1.0576451338911523, 'y': 4.104956711060199}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,561] Trial 374 finished with value: 10.319887087205322 and parameters: {'x': 0.572872190428042, 'y': 3.865253471404385}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,562] Trial 375 finished with value: 12.656247846838099 and parameters: {'x': 2.4153025902913856, 'y': 4.748548781570176}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,563] Trial 376 finished with value: 10.336268730046392 and parameters: {'x': 2.7485185814912407, 'y': 2.622131045851649}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,564] Trial 377 finished with value: 12.6936342764527 and parameters: {'x': 4.367924052208163, 'y': 3.23362910079036}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,565] Trial 378 finished with value: 5.688948182824891 and parameters: {'x': 1.6461538485913811, 'y': 0.05224659864543846}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,566] Trial 379 finished with value: 10.110830500819509 and parameters: {'x': 0.6854770412019723, 'y': 3.851589561924845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 380 finished with value: 12.273207645707943 and parameters: {'x': 4.165333083527113, 'y': 3.3233982753678104}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,567] Trial 381 finished with value: 12.484656744452234 and parameters: {'x': 2.8777810221359696, 'y': 4.542240526758478}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,568] Trial 382 finished with value: 11.425499761607393 and parameters: {'x': 3.5718757576050404, 'y': 2.4095000943864937}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,569] Trial 383 finished with value: 11.803245457094556 and parameters: {'x': 3.5369494495495686, 'y': 3.1968646099923888}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,570] Trial 384 finished with value: 9.042549452967808 and parameters: {'x': 0.12469722720175491, 'y': 4.015370361224231}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,571] Trial 385 finished with value: 10.186575518036205 and parameters: {'x': 3.731743586736484, 'y': 1.9353467643436872}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,572] Trial 386 finished with value: 7.988209696799993 and parameters: {'x': 2.9316049100820516, 'y': 1.1817841776438487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,573] Trial 387 finished with value: 11.299408930796828 and parameters: {'x': 4.943151059515143, 'y': 2.9439116523280573}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,574] Trial 388 finished with value: 10.272115300169695 and parameters: {'x': 0.9953894225731719, 'y': 4.9508387129758065}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,575] Trial 389 finished with value: 11.413230783280214 and parameters: {'x': 4.265506968629001, 'y': 1.7206051686515156}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 390 finished with value: 13.098549108408804 and parameters: {'x': 3.2852051919341596, 'y': 4.665301925763098}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,576] Trial 391 finished with value: 9.849913964349092 and parameters: {'x': 2.7953817518114112, 'y': 3.0855253870565784}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,577] Trial 392 finished with value: 12.292270609101232 and parameters: {'x': 2.3449460237387805, 'y': 4.974148831105845}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,578] Trial 393 finished with value: 11.315203140090853 and parameters: {'x': 4.667368546076479, 'y': 0.14127706194105194}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,579] Trial 394 finished with value: 8.40520651084406 and parameters: {'x': 2.2419646994476965, 'y': 1.6998795591296951}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,580] Trial 395 finished with value: 6.260505038728272 and parameters: {'x': 0.778811726152957, 'y': 1.478223468324038}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,581] Trial 396 finished with value: 11.472437481822912 and parameters: {'x': 3.586250970322703, 'y': 2.4350476434490167}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,582] Trial 397 finished with value: 12.235704085862338 and parameters: {'x': 1.5414894309370952, 'y': 4.599743491318141}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,583] Trial 398 finished with value: 10.519853942161596 and parameters: {'x': 3.478770004972627, 'y': 1.3835972523776308}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,584] Trial 399 finished with value: 11.915337561227599 and parameters: {'x': 3.9657694708972295, 'y': 4.993195560328999}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,585] Trial 400 finished with value: 11.320253002288661 and parameters: {'x': 3.521502151128004, 'y': 2.374145628966899}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,586] Trial 401 finished with value: 11.29090329121093 and parameters: {'x': 3.977316749198101, 'y': 2.6625305621987865}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 402 finished with value: 11.875663331991058 and parameters: {'x': 2.873164558462395, 'y': 4.831149901117671}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,587] Trial 403 finished with value: 12.175443931137195 and parameters: {'x': 4.713437402146087, 'y': 2.946326447389634}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,588] Trial 404 finished with value: 8.300926935758039 and parameters: {'x': 1.147792118520532, 'y': 2.4767743459617138}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,589] Trial 405 finished with value: 8.196354605338419 and parameters: {'x': 2.178274914321877, 'y': 1.6548526008809084}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,590] Trial 406 finished with value: 8.732343943691152 and parameters: {'x': 3.018750335116476, 'y': 0.4734319073153487}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,591] Trial 407 finished with value: 11.831532846162496 and parameters: {'x': 0.5787878859449158, 'y': 4.848441660674134}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,592] Trial 408 finished with value: 11.467460198669075 and parameters: {'x': 4.7644736377631, 'y': 1.9000070726471474}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,593] Trial 409 finished with value: 13.241272533641627 and parameters: {'x': 4.937879774226172, 'y': 3.5911532254609426}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 410 finished with value: 12.199229033452848 and parameters: {'x': 4.621158542946111, 'y': 1.659022406354706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,594] Trial 411 finished with value: 11.274497517651321 and parameters: {'x': 4.213027646130707, 'y': 3.024612028996253}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,596] Trial 412 finished with value: 11.011320355706633 and parameters: {'x': 4.209069911893718, 'y': 0.4391846452987075}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,597] Trial 413 finished with value: 7.835987772707956 and parameters: {'x': 1.7524743073911475, 'y': 2.1459799105722226}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,598] Trial 414 finished with value: 9.801001789392005 and parameters: {'x': 4.0132414178067455, 'y': 1.2103487743058405}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,599] Trial 415 finished with value: 4.897269335440885 and parameters: {'x': 0.016661386459545513, 'y': 1.9432817255369261}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,600] Trial 416 finished with value: 11.680835279899052 and parameters: {'x': 4.607965659748283, 'y': 0.763119379038707}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,601] Trial 417 finished with value: 13.246856664211204 and parameters: {'x': 3.749972298117215, 'y': 4.7374180952583425}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,602] Trial 418 finished with value: 5.387323888817008 and parameters: {'x': 1.253885077828284, 'y': 0.787196297398004}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,603] Trial 419 finished with value: 7.624139513333427 and parameters: {'x': 1.7152766785823403, 'y': 1.461602709177967}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,604] Trial 420 finished with value: 8.601597924364475 and parameters: {'x': 1.3520658837907396, 'y': 2.372438113797351}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,605] Trial 421 finished with value: 7.379291585291298 and parameters: {'x': 2.7930189821136464, 'y': 0.031737380005553706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,606] Trial 422 finished with value: 10.891688058409025 and parameters: {'x': 4.217288485526173, 'y': 0.6801696396168871}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,607] Trial 423 finished with value: 10.299411814439988 and parameters: {'x': 3.8122101873765697, 'y': 0.41218452352049795}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 424 finished with value: 10.208464294714064 and parameters: {'x': 3.81880576682492, 'y': 1.8169659683865675}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,608] Trial 425 finished with value: 10.028817047410373 and parameters: {'x': 1.2087293105524348, 'y': 3.793127415195745}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,609] Trial 426 finished with value: 7.261182866121507 and parameters: {'x': 0.2790957476830819, 'y': 2.2438680755679603}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,610] Trial 427 finished with value: 14.24707476875786 and parameters: {'x': 4.504128191663766, 'y': 4.536426179394706}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,611] Trial 428 finished with value: 11.53130854114426 and parameters: {'x': 2.34440646591819, 'y': 4.155224828254459}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,612] Trial 429 finished with value: 10.035148728001966 and parameters: {'x': 3.339457159272726, 'y': 1.3085702530437353}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,613] Trial 430 finished with value: 12.00190998770292 and parameters: {'x': 1.7877920284854298, 'y': 4.638094994544125}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,614] Trial 431 finished with value: 14.01538390195471 and parameters: {'x': 4.410506190386242, 'y': 4.788139963768522}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,615] Trial 432 finished with value: 4.666091133704892 and parameters: {'x': 1.1059764324677757, 'y': 0.7542856870743286}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,616] Trial 433 finished with value: 8.142015730690124 and parameters: {'x': 0.6161159090355595, 'y': 2.3898397730907184}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,617] Trial 434 finished with value: 11.879730726613051 and parameters: {'x': 1.2871110125996195, 'y': 4.732209161219746}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,618] Trial 435 finished with value: 11.50770167045246 and parameters: {'x': 2.4547123105592443, 'y': 3.6044560976192708}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 436 finished with value: 11.39469182989561 and parameters: {'x': 4.981161330369753, 'y': 2.1766888161941926}. Best is trial 250 with value: 1.0107616991357382.\n[I 2023-11-01 05:28:28,619] Trial 437 finished with value: 0.7804106054859936 and parameters: {'x': 0.10732164140456302, 'y': 0.07550790294400644}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,620] Trial 438 finished with value: 10.429537583216518 and parameters: {'x': 2.3584819107069817, 'y': 3.190198197830021}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,621] Trial 439 finished with value: 4.96540431517192 and parameters: {'x': 0.5277377187120708, 'y': 1.0982878491684678}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,622] Trial 440 finished with value: 12.51959837127892 and parameters: {'x': 3.6746873579644275, 'y': 3.5656393265313238}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,623] Trial 441 finished with value: 13.310419785020215 and parameters: {'x': 4.801937205804211, 'y': 3.656659960854932}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,624] Trial 442 finished with value: 11.149675940912598 and parameters: {'x': 4.200232100305174, 'y': 2.9712838594594713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,625] Trial 443 finished with value: 12.343066204190144 and parameters: {'x': 3.4099618227374546, 'y': 3.554075909742147}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,626] Trial 444 finished with value: 5.6759505823925345 and parameters: {'x': 0.8780434126462405, 'y': 1.9094461322518268}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,627] Trial 445 finished with value: 6.607630149326052 and parameters: {'x': 1.9938793894736069, 'y': 1.935711389319521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 446 finished with value: 6.00431305323762 and parameters: {'x': 0.9366003382596688, 'y': 2.1169233194543096}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,628] Trial 447 finished with value: 13.027263446057466 and parameters: {'x': 3.689892011332293, 'y': 4.950600642632251}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 448 finished with value: 11.06575203582668 and parameters: {'x': 0.3441815521175967, 'y': 4.262229256565206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,630] Trial 449 finished with value: 11.233300822016634 and parameters: {'x': 3.9237478347273207, 'y': 2.3966823952125753}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,631] Trial 450 finished with value: 8.935380249107924 and parameters: {'x': 1.4876991240229658, 'y': 2.4164676051324174}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,632] Trial 451 finished with value: 11.741073301615504 and parameters: {'x': 1.9644552766060486, 'y': 4.498472398791405}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,633] Trial 452 finished with value: 6.082732869229478 and parameters: {'x': 1.400062597877147, 'y': 0.47308219360903625}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,634] Trial 453 finished with value: 8.122986607956738 and parameters: {'x': 2.5225478308799607, 'y': 0.8888340113786181}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,635] Trial 454 finished with value: 10.02573892634024 and parameters: {'x': 1.1571208454981974, 'y': 3.4887523537576577}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,638] Trial 455 finished with value: 14.122725695817879 and parameters: {'x': 4.425953927746668, 'y': 4.4820875653525025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,639] Trial 456 finished with value: 11.12488185820932 and parameters: {'x': 4.034092789320193, 'y': 3.9351871317284477}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,640] Trial 457 finished with value: 10.822916013291252 and parameters: {'x': 4.057685738995707, 'y': 1.6228102359843521}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,641] Trial 458 finished with value: 7.799678963438955 and parameters: {'x': 3.104179792814024, 'y': 0.9079559307976542}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,642] Trial 459 finished with value: 13.558071660350077 and parameters: {'x': 4.263230292643333, 'y': 4.789186109978953}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 460 finished with value: 5.379273068061256 and parameters: {'x': 1.2629667463169851, 'y': 0.3471682486006089}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,643] Trial 461 finished with value: 13.503353859353549 and parameters: {'x': 3.6472602799256286, 'y': 4.585275919341306}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,644] Trial 462 finished with value: 9.95189832119296 and parameters: {'x': 4.217291323814577, 'y': 0.06534306686574565}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,645] Trial 463 finished with value: 7.316189589089076 and parameters: {'x': 2.1544055069289936, 'y': 1.977017966150556}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,646] Trial 464 finished with value: 6.837266790743383 and parameters: {'x': 2.107062124054001, 'y': 0.7011774809488025}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,647] Trial 465 finished with value: 12.326391259520475 and parameters: {'x': 3.8061924650999472, 'y': 3.4622914922425165}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,648] Trial 466 finished with value: 12.438153329094177 and parameters: {'x': 3.059137452812551, 'y': 4.644550575118717}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,649] Trial 467 finished with value: 10.795756609067213 and parameters: {'x': 3.5770919128123864, 'y': 1.6153670832663791}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,650] Trial 468 finished with value: 12.976661440518908 and parameters: {'x': 4.080223600535277, 'y': 4.7351518146604885}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,651] Trial 469 finished with value: 8.31533623510785 and parameters: {'x': 0.8067232894823856, 'y': 2.6448926126752745}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 470 finished with value: 10.129849179817505 and parameters: {'x': 3.8967028438943183, 'y': 1.7891317967768172}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,652] Trial 471 finished with value: 10.495601334816916 and parameters: {'x': 1.843470804737017, 'y': 3.5058645128464376}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,653] Trial 472 finished with value: 10.088792482724358 and parameters: {'x': 2.7654320858351027, 'y': 3.113727970345309}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,654] Trial 473 finished with value: 8.489489614352319 and parameters: {'x': 1.0263837170960788, 'y': 3.215932794062375}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,656] Trial 474 finished with value: 10.997502590623936 and parameters: {'x': 2.4805922066317883, 'y': 3.284689230485689}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,657] Trial 475 finished with value: 6.291712557698734 and parameters: {'x': 1.4650440056970793, 'y': 0.7063166537840632}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,658] Trial 476 finished with value: 10.93523004668661 and parameters: {'x': 4.183730895251133, 'y': 0.5658401958833559}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,659] Trial 477 finished with value: 7.850438094434846 and parameters: {'x': 0.5599168274764549, 'y': 2.2945630290077066}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 478 finished with value: 11.627074996182836 and parameters: {'x': 2.074821999819689, 'y': 4.727132686901395}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,660] Trial 479 finished with value: 7.797052693640023 and parameters: {'x': 2.060681641475947, 'y': 1.629046569019739}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,661] Trial 480 finished with value: 7.032253172863296 and parameters: {'x': 1.6073255276032867, 'y': 1.246078044226684}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,662] Trial 481 finished with value: 9.717309651594512 and parameters: {'x': 3.694629393054078, 'y': 0.1452253478402482}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,663] Trial 482 finished with value: 9.28452105239339 and parameters: {'x': 3.2417304714517914, 'y': 0.32514601807110965}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,664] Trial 483 finished with value: 5.315871409227775 and parameters: {'x': 1.200964624897748, 'y': 0.4522330920560269}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,665] Trial 484 finished with value: 9.440968128035568 and parameters: {'x': 3.8048243910578416, 'y': 1.0766348745679348}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,666] Trial 485 finished with value: 11.128758047393772 and parameters: {'x': 3.4025495977679103, 'y': 2.3743371466036587}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,667] Trial 486 finished with value: 11.606968638275713 and parameters: {'x': 4.654079612466723, 'y': 0.7898450946089941}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,668] Trial 487 finished with value: 8.164509127866584 and parameters: {'x': 2.4061686085964666, 'y': 0.45546552540126295}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,669] Trial 488 finished with value: 4.215593111143367 and parameters: {'x': 0.8822884373740586, 'y': 0.3681398348093584}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 489 finished with value: 10.402055248667342 and parameters: {'x': 1.7199664697902828, 'y': 3.3849639252179493}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,670] Trial 490 finished with value: 7.395006822537743 and parameters: {'x': 1.3881946345175273, 'y': 1.5523358451185554}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,671] Trial 491 finished with value: 6.0595150997035425 and parameters: {'x': 0.2723050025800139, 'y': 1.5129130477433206}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,672] Trial 492 finished with value: 11.838682067772567 and parameters: {'x': 4.276207744351974, 'y': 2.83923223769671}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,673] Trial 493 finished with value: 13.278499721884376 and parameters: {'x': 4.85037561346188, 'y': 3.4596523068267637}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,674] Trial 494 finished with value: 4.549486920521389 and parameters: {'x': 0.6634885345608066, 'y': 0.8018360929305579}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,675] Trial 495 finished with value: 5.690223476399435 and parameters: {'x': 1.9547778130093625, 'y': 0.864218941932488}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,676] Trial 496 finished with value: 3.8395917237234833 and parameters: {'x': 0.13501540166023784, 'y': 1.1454565746303713}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,677] Trial 497 finished with value: 9.06181195713635 and parameters: {'x': 2.0097930888484257, 'y': 2.5779436380218317}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,678] Trial 498 finished with value: 4.141706705777526 and parameters: {'x': 1.050766261540541, 'y': 0.8255628900432621}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] Trial 499 finished with value: 10.11695865881527 and parameters: {'x': 3.4497399262396455, 'y': 0.47594639104199365}. Best is trial 437 with value: 0.7804106054859936.\n[I 2023-11-01 05:28:28,679] A new study created in memory with name: x=[0,4), y=[0,4)\n[I 2023-11-01 05:28:28,680] Trial 0 finished with value: 9.859778541798656 and parameters: {'x': 1.3933196794073037, 'y': 3.2358514401958347}. Best is trial 0 with value: 9.859778541798656.\n[I 2023-11-01 05:28:28,681] Trial 1 finished with value: 9.039593212528152 and parameters: {'x': 1.838548751301699, 'y': 2.504497219276703}. Best is trial 1 with value: 9.039593212528152.\n[I 2023-11-01 05:28:28,681] Trial 2 finished with value: 4.244161659801236 and parameters: {'x': 0.8145873234061498, 'y': 0.37470161910149224}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,682] Trial 3 finished with value: 10.707175702169542 and parameters: {'x': 3.902103869064555, 'y': 1.4693753133410787}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,683] Trial 4 finished with value: 7.299292877283396 and parameters: {'x': 2.305135871772639, 'y': 0.9837282718184688}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,684] Trial 5 finished with value: 10.680969952713568 and parameters: {'x': 3.96983477897882, 'y': 2.265084513109098}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,685] Trial 6 finished with value: 10.534469944310851 and parameters: {'x': 2.0671457821091552, 'y': 3.5257358718900864}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 7 finished with value: 6.984222753302996 and parameters: {'x': 0.04765358251977991, 'y': 2.92097283880608}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,686] Trial 8 finished with value: 8.822231479320317 and parameters: {'x': 1.2751187315175243, 'y': 2.600010316693418}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,687] Trial 9 finished with value: 10.098013003294861 and parameters: {'x': 3.30128843589085, 'y': 1.7369520482245924}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,688] Trial 10 finished with value: 6.590857000246849 and parameters: {'x': 0.6273547556415009, 'y': 1.9094396171974033}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,689] Trial 11 finished with value: 5.529780090813791 and parameters: {'x': 1.3200314988592186, 'y': 0.9621656302946389}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,690] Trial 12 finished with value: 7.964652132745382 and parameters: {'x': 2.431829240381084, 'y': 0.8558984720330014}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 13 finished with value: 7.2060689475395385 and parameters: {'x': 1.9347330117135004, 'y': 1.7763143086502295}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,691] Trial 14 finished with value: 7.38790703558322 and parameters: {'x': 1.4591918094157488, 'y': 1.4523362557690818}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,692] Trial 15 finished with value: 6.166968985628692 and parameters: {'x': 0.8561980303273447, 'y': 1.472478142941779}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,693] Trial 16 finished with value: 8.558532033087145 and parameters: {'x': 0.6168391828672339, 'y': 2.836747068751847}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,694] Trial 17 finished with value: 9.338342614865656 and parameters: {'x': 3.298276896472674, 'y': 1.1440750956569046}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,695] Trial 18 finished with value: 11.10649259399895 and parameters: {'x': 2.8214730316745245, 'y': 3.7744207192919066}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,696] Trial 19 finished with value: 6.7236981165918905 and parameters: {'x': 0.5425632260332911, 'y': 1.9664808329550993}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 20 finished with value: 9.197320562025435 and parameters: {'x': 2.6301945639685935, 'y': 2.0897056077133547}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,697] Trial 21 finished with value: 6.564082939358261 and parameters: {'x': 0.5216182433451544, 'y': 1.6125483245888965}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,698] Trial 22 finished with value: 7.760458384259243 and parameters: {'x': 1.649580915829942, 'y': 1.7232746235781753}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,699] Trial 23 finished with value: 4.692281434608283 and parameters: {'x': 0.4763457596546661, 'y': 1.0318764322136516}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,700] Trial 24 finished with value: 10.457106146198148 and parameters: {'x': 1.884117526823101, 'y': 3.515186937291592}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,701] Trial 25 finished with value: 10.28898955389791 and parameters: {'x': 3.1158246006173047, 'y': 3.1838538522785744}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 26 finished with value: 9.331292201439751 and parameters: {'x': 0.017672354936568713, 'y': 3.4211695299212206}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,702] Trial 27 finished with value: 10.060005028037963 and parameters: {'x': 0.786957066684185, 'y': 3.6852471668044555}. Best is trial 2 with value: 4.244161659801236.\n[I 2023-11-01 05:28:28,703] Trial 28 finished with value: 3.964292399208695 and parameters: {'x': 0.46295550697412713, 'y': 0.39938900035022407}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,704] Trial 29 finished with value: 10.269990858462307 and parameters: {'x': 1.65981265679325, 'y': 3.320513303194814}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,705] Trial 30 finished with value: 11.268039501438045 and parameters: {'x': 2.633330398842245, 'y': 3.362248171171207}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,706] Trial 31 finished with value: 5.396934020251162 and parameters: {'x': 1.1949167255641462, 'y': 1.1654157413744377}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,707] Trial 32 finished with value: 9.829000907142534 and parameters: {'x': 0.8784560741266598, 'y': 3.4924433376133783}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 33 finished with value: 10.369946123204146 and parameters: {'x': 3.9701276532663954, 'y': 0.4997243304279091}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,708] Trial 34 finished with value: 7.682115993810168 and parameters: {'x': 2.0668884599462567, 'y': 1.4241440362775037}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,709] Trial 35 finished with value: 11.752399043322077 and parameters: {'x': 3.1788488466327007, 'y': 3.5497268271566926}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,710] Trial 36 finished with value: 12.226827133986625 and parameters: {'x': 3.4516564162177263, 'y': 3.4014755174992803}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,711] Trial 37 finished with value: 9.001126604354294 and parameters: {'x': 1.7287436729282057, 'y': 3.039231370839761}. Best is trial 28 with value: 3.964292399208695.\n[I 2023-11-01 05:28:28,712] Trial 38 finished with value: 3.7033385075458476 and parameters: {'x': 0.2408286872302634, 'y': 0.9882472155647375}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 39 finished with value: 7.816144951505883 and parameters: {'x': 2.38247805165682, 'y': 1.0733449299813174}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,713] Trial 40 finished with value: 11.480525241689845 and parameters: {'x': 3.75901341027312, 'y': 2.453615193920154}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,714] Trial 41 finished with value: 12.202111886720926 and parameters: {'x': 3.7450474278361403, 'y': 3.7846922598231063}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,715] Trial 42 finished with value: 11.405793594949529 and parameters: {'x': 2.403226350502876, 'y': 3.745084760723254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,716] Trial 43 finished with value: 5.750984516139752 and parameters: {'x': 1.781549861697862, 'y': 0.16127595645851578}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,717] Trial 44 finished with value: 5.54345653122553 and parameters: {'x': 0.2172688339262261, 'y': 1.3822698988079365}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,718] Trial 45 finished with value: 10.060905765872992 and parameters: {'x': 0.7979283545488918, 'y': 3.5741214978277833}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 46 finished with value: 6.959205036747614 and parameters: {'x': 0.5164581753461488, 'y': 2.0663302791013227}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,719] Trial 47 finished with value: 11.03616182271487 and parameters: {'x': 3.9480950365448084, 'y': 3.96645174529096}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,720] Trial 48 finished with value: 6.614950609692865 and parameters: {'x': 0.6310986798933471, 'y': 1.6589654222068524}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,721] Trial 49 finished with value: 9.175626846648905 and parameters: {'x': 2.745981291764348, 'y': 1.4264809557268383}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,722] Trial 50 finished with value: 8.515399997037537 and parameters: {'x': 2.6274468517453085, 'y': 0.6861219767706412}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,723] Trial 51 finished with value: 5.435487475041612 and parameters: {'x': 1.9397491625683356, 'y': 1.0202429416259573}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 52 finished with value: 9.745806897619802 and parameters: {'x': 3.430168293505469, 'y': 0.2317638687174539}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,724] Trial 53 finished with value: 9.752071545230551 and parameters: {'x': 2.7855338170640893, 'y': 3.043792727489718}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,725] Trial 54 finished with value: 4.4704695077871826 and parameters: {'x': 0.5271026419422009, 'y': 0.6223072245090484}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,726] Trial 55 finished with value: 12.03918283506897 and parameters: {'x': 3.2704636918929406, 'y': 3.5829796005976884}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,727] Trial 56 finished with value: 10.18696347807152 and parameters: {'x': 3.9278091591189184, 'y': 2.9741530786699166}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,728] Trial 57 finished with value: 7.556126379464672 and parameters: {'x': 3.0881791182582132, 'y': 0.9834557500733685}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 58 finished with value: 9.185903992885615 and parameters: {'x': 3.3688244164395478, 'y': 0.07370278788612072}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,729] Trial 59 finished with value: 6.280576366644379 and parameters: {'x': 0.5731961180739842, 'y': 1.450687583583008}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,730] Trial 60 finished with value: 7.742064083775642 and parameters: {'x': 1.5656204313309159, 'y': 1.7387483442563485}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,731] Trial 61 finished with value: 11.132968842390083 and parameters: {'x': 3.39312495501294, 'y': 2.843245434223765}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,732] Trial 62 finished with value: 8.567754039160308 and parameters: {'x': 1.8015413117258299, 'y': 2.944191104585469}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,733] Trial 63 finished with value: 4.832743885161232 and parameters: {'x': 0.4465773656006653, 'y': 1.0891525830804647}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 64 finished with value: 11.104507548957141 and parameters: {'x': 2.8701212402413727, 'y': 3.733795236099265}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,734] Trial 65 finished with value: 7.40615921330866 and parameters: {'x': 2.3241082704852536, 'y': 0.9776882221678127}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,735] Trial 66 finished with value: 11.505979204998482 and parameters: {'x': 2.737406586939625, 'y': 3.6572814342341977}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,736] Trial 67 finished with value: 6.534579593040267 and parameters: {'x': 1.2195404608268183, 'y': 1.9017797211719087}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,737] Trial 68 finished with value: 9.930908552455072 and parameters: {'x': 0.5560221319737524, 'y': 3.3681618420035133}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,738] Trial 69 finished with value: 6.901786099055903 and parameters: {'x': 2.272307748983125, 'y': 0.12754687071613713}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,739] Trial 70 finished with value: 9.998882920157838 and parameters: {'x': 0.7698589318554725, 'y': 3.7592329794195254}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 71 finished with value: 7.919037470960159 and parameters: {'x': 2.600456136224802, 'y': 0.12119274231295663}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,740] Trial 72 finished with value: 9.62924260549343 and parameters: {'x': 3.5723994726880854, 'y': 0.054357180230217406}. Best is trial 38 with value: 3.7033385075458476.\n[I 2023-11-01 05:28:28,741] Trial 73 finished with value: 0.2151968790881824 and parameters: {'x': 0.04884273066499656, 'y': 0.016513827190637542}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,743] Trial 74 finished with value: 5.876716919840415 and parameters: {'x': 0.1695058988291449, 'y': 1.5451156431523292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,744] Trial 75 finished with value: 6.50152632645646 and parameters: {'x': 1.253513702284081, 'y': 1.3314201920039643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,745] Trial 76 finished with value: 10.073728693626201 and parameters: {'x': 1.790940909549009, 'y': 3.9306183079192376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,746] Trial 77 finished with value: 11.592961833859302 and parameters: {'x': 3.3382684898030006, 'y': 3.247600734696528}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,747] Trial 78 finished with value: 8.524339728788682 and parameters: {'x': 2.7939800283677414, 'y': 1.9465730742746103}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,748] Trial 79 finished with value: 6.810148362488738 and parameters: {'x': 2.250517079552346, 'y': 0.1412007733389138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,749] Trial 80 finished with value: 4.578449067293313 and parameters: {'x': 0.9513282606596039, 'y': 0.5176395568530854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,750] Trial 81 finished with value: 8.03611178521659 and parameters: {'x': 2.7495574802101426, 'y': 0.8605322444674512}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,751] Trial 82 finished with value: 9.0484191526951 and parameters: {'x': 3.302135926381046, 'y': 0.9473176516728192}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,752] Trial 83 finished with value: 12.120266358270943 and parameters: {'x': 3.6739792951218915, 'y': 3.934808570119411}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,753] Trial 84 finished with value: 10.402439856923305 and parameters: {'x': 1.9698964088020623, 'y': 3.506429165248168}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,754] Trial 85 finished with value: 4.160126567431099 and parameters: {'x': 0.7989548719069344, 'y': 0.3462904341027335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,755] Trial 86 finished with value: 8.553032648925823 and parameters: {'x': 2.9162754648283156, 'y': 0.42806181200585414}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,756] Trial 87 finished with value: 10.608490346655685 and parameters: {'x': 3.2532379182350595, 'y': 3.0910275017250406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,757] Trial 88 finished with value: 3.7015802211423185 and parameters: {'x': 0.2322645623258115, 'y': 0.5625554562742372}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,758] Trial 89 finished with value: 9.191385997850857 and parameters: {'x': 2.547976011875257, 'y': 1.516626324984331}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,759] Trial 90 finished with value: 6.442237775568518 and parameters: {'x': 1.1361400624445248, 'y': 1.4499627343902555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,760] Trial 91 finished with value: 10.0445479409038 and parameters: {'x': 1.1371007311701828, 'y': 3.5410274711784107}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,761] Trial 92 finished with value: 10.977920512951362 and parameters: {'x': 3.757065188327247, 'y': 2.8931772973556926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,762] Trial 93 finished with value: 8.235795283382567 and parameters: {'x': 2.082113472254048, 'y': 2.9454209884361773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 94 finished with value: 9.93034334231159 and parameters: {'x': 3.464529351420215, 'y': 0.28253052622114705}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,763] Trial 95 finished with value: 4.12794561810944 and parameters: {'x': 0.4961925387838706, 'y': 0.44012286036116954}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,764] Trial 96 finished with value: 9.770704684742935 and parameters: {'x': 0.9230872571633748, 'y': 3.490669945563004}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,765] Trial 97 finished with value: 8.019703025801185 and parameters: {'x': 3.1355638961169685, 'y': 1.0714067782110388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,766] Trial 98 finished with value: 10.506967336266714 and parameters: {'x': 3.0207104304758863, 'y': 3.849499571070234}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,767] Trial 99 finished with value: 9.769323851016116 and parameters: {'x': 2.924175184757402, 'y': 2.3448622903364957}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,768] Trial 100 finished with value: 8.640166243405007 and parameters: {'x': 2.7226932337739216, 'y': 0.4994786053724156}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,769] Trial 101 finished with value: 10.089444683751838 and parameters: {'x': 3.871491069827993, 'y': 0.33848581827426116}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,770] Trial 102 finished with value: 8.186227648748062 and parameters: {'x': 1.2200983012467015, 'y': 2.360577004611718}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,771] Trial 103 finished with value: 8.06051983142751 and parameters: {'x': 2.4520107245963514, 'y': 0.8297937319854545}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,772] Trial 104 finished with value: 8.386680858343565 and parameters: {'x': 0.3249375577272491, 'y': 2.6079869824945696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,773] Trial 105 finished with value: 7.348582073690469 and parameters: {'x': 1.067582975461931, 'y': 2.9485118438811426}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,774] Trial 106 finished with value: 6.205295019163518 and parameters: {'x': 2.06997945847861, 'y': 0.8137554383860333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,775] Trial 107 finished with value: 10.986137556963685 and parameters: {'x': 3.5765675535466497, 'y': 2.2201968827903356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,776] Trial 108 finished with value: 11.476111653910753 and parameters: {'x': 3.6031268809452617, 'y': 2.4312641887005704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,777] Trial 109 finished with value: 7.3944165656711185 and parameters: {'x': 2.8733924329055345, 'y': 1.0206703053627808}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,778] Trial 110 finished with value: 8.139625158792638 and parameters: {'x': 2.820147250520451, 'y': 1.1666515616728446}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,779] Trial 111 finished with value: 4.933785005094766 and parameters: {'x': 1.9178777080752796, 'y': 0.021013293830758784}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,780] Trial 112 finished with value: 5.624930891218909 and parameters: {'x': 1.4332515629066673, 'y': 0.17797717789785095}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,781] Trial 113 finished with value: 6.094411408044536 and parameters: {'x': 0.8831892500246643, 'y': 1.7561596489534015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,782] Trial 114 finished with value: 10.350248108508522 and parameters: {'x': 0.5621434508607988, 'y': 3.8269720325807453}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,783] Trial 115 finished with value: 4.446371638664033 and parameters: {'x': 1.0795604822820097, 'y': 0.7805852288782855}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,784] Trial 116 finished with value: 11.379784239135127 and parameters: {'x': 3.635131315146991, 'y': 2.829311753826587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,785] Trial 117 finished with value: 9.874730007709653 and parameters: {'x': 3.4682953737404696, 'y': 0.8220673834864538}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,786] Trial 118 finished with value: 9.807764019725601 and parameters: {'x': 0.9494737467704817, 'y': 3.530087053993743}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,787] Trial 119 finished with value: 11.410294712002278 and parameters: {'x': 3.9871173808297056, 'y': 3.842963180939406}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,788] Trial 120 finished with value: 7.719275347795678 and parameters: {'x': 2.0065123631697337, 'y': 1.5455205599702864}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,789] Trial 121 finished with value: 9.277457289195318 and parameters: {'x': 1.6182801213473015, 'y': 3.027341246168199}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,790] Trial 122 finished with value: 7.763855358987204 and parameters: {'x': 0.9363421887709489, 'y': 3.111505973359827}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,791] Trial 123 finished with value: 9.110185341215733 and parameters: {'x': 2.5624184237197096, 'y': 1.8247744584254226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,792] Trial 124 finished with value: 6.528727778503942 and parameters: {'x': 0.40511538340101305, 'y': 1.8765124216775555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,793] Trial 125 finished with value: 12.364248094899766 and parameters: {'x': 3.7277047674793513, 'y': 3.7247168959501478}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,794] Trial 126 finished with value: 11.011311935244251 and parameters: {'x': 2.3685755137917592, 'y': 3.3575240438917673}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,795] Trial 127 finished with value: 7.258172960937385 and parameters: {'x': 1.2317497913178186, 'y': 2.159008680800039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,796] Trial 128 finished with value: 7.430708868599407 and parameters: {'x': 2.3883691403099236, 'y': 0.09910389553271326}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,797] Trial 129 finished with value: 4.377886023640851 and parameters: {'x': 0.7326561110324659, 'y': 0.4290136452924571}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 130 finished with value: 9.679292695512402 and parameters: {'x': 3.7296188437089395, 'y': 0.15512078425954456}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,798] Trial 131 finished with value: 8.925525251448645 and parameters: {'x': 3.9106045264751623, 'y': 0.9588186728514732}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,799] Trial 132 finished with value: 6.6398318289712215 and parameters: {'x': 0.48236236064767146, 'y': 1.7600763848392056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,800] Trial 133 finished with value: 9.293731400441033 and parameters: {'x': 3.128480998346366, 'y': 1.7400833037468666}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,801] Trial 134 finished with value: 9.874323707396623 and parameters: {'x': 3.484209234756394, 'y': 1.0985066631040374}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,802] Trial 135 finished with value: 8.631833679924338 and parameters: {'x': 1.8948794514066605, 'y': 3.117613250216388}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,803] Trial 136 finished with value: 10.275675796090006 and parameters: {'x': 3.3991273948311873, 'y': 1.8340578173776851}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,804] Trial 137 finished with value: 10.359721880073934 and parameters: {'x': 2.6267802049016957, 'y': 3.085700377707863}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,805] Trial 138 finished with value: 8.210833865250711 and parameters: {'x': 2.516363850598352, 'y': 0.8196266205695761}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,806] Trial 139 finished with value: 12.022924135876615 and parameters: {'x': 3.389095679740186, 'y': 3.3529398437885245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,807] Trial 140 finished with value: 9.304331326398993 and parameters: {'x': 1.642346402818133, 'y': 2.651197454795302}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,808] Trial 141 finished with value: 8.686674607755023 and parameters: {'x': 1.7089786565719036, 'y': 2.316092187475462}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,809] Trial 142 finished with value: 6.997240891390188 and parameters: {'x': 2.0776459027142766, 'y': 0.5371464989205403}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,810] Trial 143 finished with value: 9.576903304434243 and parameters: {'x': 3.7642216964945523, 'y': 0.9019122546912715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,811] Trial 144 finished with value: 9.803241032909828 and parameters: {'x': 3.5326499741645327, 'y': 0.9714572510032968}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,812] Trial 145 finished with value: 7.8071162529029365 and parameters: {'x': 0.9530674923667211, 'y': 2.7634909126453584}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,813] Trial 146 finished with value: 10.075231814652724 and parameters: {'x': 3.48441276263407, 'y': 0.7180431183628277}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 147 finished with value: 6.375922180024251 and parameters: {'x': 1.8046886318843813, 'y': 0.7459821381585212}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,814] Trial 148 finished with value: 9.413608486585655 and parameters: {'x': 3.933916726426555, 'y': 1.9585479049450258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,815] Trial 149 finished with value: 10.28412430704962 and parameters: {'x': 3.3148229892276877, 'y': 1.535581323171066}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,816] Trial 150 finished with value: 4.350627454821726 and parameters: {'x': 0.21250281775814894, 'y': 1.1646549470884318}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,817] Trial 151 finished with value: 9.291214543796979 and parameters: {'x': 3.767119014514924, 'y': 0.05554223443280559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,818] Trial 152 finished with value: 11.262615388974723 and parameters: {'x': 2.6782951778417865, 'y': 3.9068321042955114}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,819] Trial 153 finished with value: 7.037404672005643 and parameters: {'x': 1.5623448927156396, 'y': 1.2560764485773763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,820] Trial 154 finished with value: 6.290638213631119 and parameters: {'x': 0.9897733601874057, 'y': 1.578485331567916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,821] Trial 155 finished with value: 5.736349520417626 and parameters: {'x': 0.625380744133333, 'y': 1.2821182192654983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,822] Trial 156 finished with value: 6.766715854131045 and parameters: {'x': 2.027214829584737, 'y': 1.8991490484783213}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,823] Trial 157 finished with value: 10.87770316730678 and parameters: {'x': 2.4079485621216716, 'y': 3.282445457145102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,824] Trial 158 finished with value: 10.035889093507278 and parameters: {'x': 1.2347496820084465, 'y': 3.842653042199124}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,825] Trial 159 finished with value: 10.304801724231645 and parameters: {'x': 0.6662920601396958, 'y': 3.6561413772209934}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,826] Trial 160 finished with value: 7.637435938861136 and parameters: {'x': 1.9853065750934986, 'y': 1.4879383070697996}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,827] Trial 161 finished with value: 6.8235965706121124 and parameters: {'x': 1.4821404923034507, 'y': 1.2254013635508776}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 162 finished with value: 5.601998291743918 and parameters: {'x': 1.6890528206784348, 'y': 0.011438891268208184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,828] Trial 163 finished with value: 2.849084346027542 and parameters: {'x': 0.06295370518636378, 'y': 1.031830480408582}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,829] Trial 164 finished with value: 6.399098494880953 and parameters: {'x': 2.0751471528509584, 'y': 0.7772473107038773}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,830] Trial 165 finished with value: 8.392320801794583 and parameters: {'x': 1.9414122925975796, 'y': 2.320254719400466}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,831] Trial 166 finished with value: 10.243672123912138 and parameters: {'x': 2.374158598267379, 'y': 3.127409484267983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,832] Trial 167 finished with value: 10.239794754974406 and parameters: {'x': 2.4530394334748618, 'y': 2.597858884115015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,833] Trial 168 finished with value: 8.664885822736856 and parameters: {'x': 2.3260047004211732, 'y': 1.4595369973445482}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,834] Trial 169 finished with value: 8.313484934031424 and parameters: {'x': 0.7976136598357257, 'y': 2.5722926319517176}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,835] Trial 170 finished with value: 7.439426909141176 and parameters: {'x': 0.892794726117486, 'y': 2.3176771815226087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,836] Trial 171 finished with value: 10.764393870053514 and parameters: {'x': 3.3966726052998424, 'y': 2.236227111224998}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,837] Trial 172 finished with value: 7.672732461844447 and parameters: {'x': 0.6565399271869343, 'y': 2.266383207388518}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,838] Trial 173 finished with value: 9.912718580952895 and parameters: {'x': 3.4427460583166134, 'y': 0.767008084023082}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,839] Trial 174 finished with value: 7.492130034499652 and parameters: {'x': 2.431786498107929, 'y': 0.0012019289323461635}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,840] Trial 175 finished with value: 11.432963250400805 and parameters: {'x': 2.398579419032148, 'y': 3.626689061898129}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,841] Trial 176 finished with value: 4.679324472600673 and parameters: {'x': 0.5046659693982054, 'y': 1.0136426491222448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,842] Trial 177 finished with value: 10.014653304662277 and parameters: {'x': 3.6656304163043663, 'y': 0.8136327917263362}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,843] Trial 178 finished with value: 9.42189561442088 and parameters: {'x': 2.9282945598665706, 'y': 2.2735780055911254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 179 finished with value: 8.238792467050876 and parameters: {'x': 0.9229106738167738, 'y': 3.1755356848963574}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,844] Trial 180 finished with value: 10.022809360818055 and parameters: {'x': 1.8937739918677239, 'y': 3.353392061020511}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,845] Trial 181 finished with value: 8.665501391018337 and parameters: {'x': 1.9430207704425881, 'y': 3.1412220082989495}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,846] Trial 182 finished with value: 10.499929595705158 and parameters: {'x': 1.6045313764477873, 'y': 3.3928183933266634}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,849] Trial 183 finished with value: 9.054465657737579 and parameters: {'x': 3.177504629624753, 'y': 1.881574039728204}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,850] Trial 184 finished with value: 3.241811376658486 and parameters: {'x': 0.5532265700325287, 'y': 0.061759306737271036}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,851] Trial 185 finished with value: 7.4816312909029214 and parameters: {'x': 2.24354351082847, 'y': 0.7086458008507504}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,852] Trial 186 finished with value: 8.508435442027885 and parameters: {'x': 2.8176162725062777, 'y': 0.3911023288613231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,853] Trial 187 finished with value: 4.003956371062326 and parameters: {'x': 0.857305088806247, 'y': 0.31075294610825965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,854] Trial 188 finished with value: 9.062669397549 and parameters: {'x': 2.5195873392164465, 'y': 2.027339028317335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,855] Trial 189 finished with value: 12.30418779730045 and parameters: {'x': 3.5218480070541975, 'y': 3.885144033046055}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,856] Trial 190 finished with value: 8.009208681763505 and parameters: {'x': 0.7113367701524909, 'y': 2.3745769144946838}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,857] Trial 191 finished with value: 12.315806722956946 and parameters: {'x': 3.5396118541352206, 'y': 3.879451669911221}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 192 finished with value: 10.020296150989592 and parameters: {'x': 3.469458015012512, 'y': 1.1690347203106715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,858] Trial 193 finished with value: 10.537264287309405 and parameters: {'x': 3.5770634585862493, 'y': 1.3211248037407284}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,859] Trial 194 finished with value: 10.289151352354983 and parameters: {'x': 2.569659832403738, 'y': 2.8024819222942092}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,860] Trial 195 finished with value: 3.731060228910131 and parameters: {'x': 0.24760921660013002, 'y': 0.5521423661189173}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,861] Trial 196 finished with value: 5.9435690466674735 and parameters: {'x': 1.3769545180557197, 'y': 0.7936675641809834}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,862] Trial 197 finished with value: 9.743775215528842 and parameters: {'x': 0.12280025833501451, 'y': 3.6135186276359184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,863] Trial 198 finished with value: 5.873860931591558 and parameters: {'x': 1.0968336994868557, 'y': 2.0440842501161494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,864] Trial 199 finished with value: 10.709851532989827 and parameters: {'x': 1.4035187216015639, 'y': 3.6233773243557295}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,865] Trial 200 finished with value: 9.954064110925012 and parameters: {'x': 3.726106479619608, 'y': 1.1507434606307019}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,866] Trial 201 finished with value: 9.176752015086375 and parameters: {'x': 2.9657694175449376, 'y': 1.6248824147200915}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,870] Trial 202 finished with value: 8.145954329559796 and parameters: {'x': 1.0228360176486495, 'y': 2.5618407253423037}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,871] Trial 203 finished with value: 6.436303642075089 and parameters: {'x': 0.1490956988241905, 'y': 2.189578164919726}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 204 finished with value: 11.111376943310047 and parameters: {'x': 3.8600995766607973, 'y': 2.749935443832355}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,873] Trial 205 finished with value: 9.129251992511671 and parameters: {'x': 1.1056290533154534, 'y': 3.962676922705223}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,874] Trial 206 finished with value: 8.370841149672748 and parameters: {'x': 3.239100750458276, 'y': 0.022500014848797267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,875] Trial 207 finished with value: 9.291509527012558 and parameters: {'x': 3.00568373091447, 'y': 3.0819509181231135}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,876] Trial 208 finished with value: 9.526550833010017 and parameters: {'x': 1.6196305250074117, 'y': 3.1125193232568216}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,877] Trial 209 finished with value: 9.615589923726578 and parameters: {'x': 3.267739114462778, 'y': 0.5385583215982779}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,878] Trial 210 finished with value: 9.531798143488427 and parameters: {'x': 0.25581569974990925, 'y': 3.3448825637277912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 211 finished with value: 8.604070357784977 and parameters: {'x': 0.46414482840332383, 'y': 2.832521354655352}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,879] Trial 212 finished with value: 10.38897582976456 and parameters: {'x': 1.8211110188726547, 'y': 3.7486718651916884}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,880] Trial 213 finished with value: 6.661796469044116 and parameters: {'x': 1.9281477756028131, 'y': 1.926628295959115}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,881] Trial 214 finished with value: 9.292910051092164 and parameters: {'x': 2.7294285878695597, 'y': 1.5245259127637056}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,882] Trial 215 finished with value: 11.474812810352063 and parameters: {'x': 2.545072973407813, 'y': 3.482446850845249}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,883] Trial 216 finished with value: 5.7436489654843506 and parameters: {'x': 1.495433610786303, 'y': 0.15421009122365392}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 217 finished with value: 9.730716734806999 and parameters: {'x': 1.0030835880141065, 'y': 3.480006126880088}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,884] Trial 218 finished with value: 10.264000182790559 and parameters: {'x': 2.564834864793566, 'y': 2.484511186533039}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,885] Trial 219 finished with value: 9.603307511303695 and parameters: {'x': 1.3610131034034234, 'y': 3.1908647326982806}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,886] Trial 220 finished with value: 4.369001281478198 and parameters: {'x': 1.188627464139461, 'y': 0.18369767028726258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,887] Trial 221 finished with value: 9.76991966254143 and parameters: {'x': 3.8988662451422833, 'y': 0.7602578472113932}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,888] Trial 222 finished with value: 7.137655618781169 and parameters: {'x': 0.8347420348689671, 'y': 2.2420510780813876}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,889] Trial 223 finished with value: 8.91040625724673 and parameters: {'x': 1.359216232474024, 'y': 2.9027621524655793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 224 finished with value: 11.368714852239679 and parameters: {'x': 2.6445670042252885, 'y': 3.876078195544568}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,890] Trial 225 finished with value: 10.370157440060499 and parameters: {'x': 3.388476359892063, 'y': 1.7522052503971564}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,891] Trial 226 finished with value: 11.459382868502663 and parameters: {'x': 3.4584850215221827, 'y': 2.5951719092807926}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,892] Trial 227 finished with value: 10.992736541581595 and parameters: {'x': 2.7749761828694957, 'y': 3.8717898238860258}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,893] Trial 228 finished with value: 7.960140413458749 and parameters: {'x': 0.9736103991275695, 'y': 3.148002172690902}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,894] Trial 229 finished with value: 10.377944264894046 and parameters: {'x': 2.5711654315986396, 'y': 2.664355196945022}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 230 finished with value: 6.558542754486279 and parameters: {'x': 1.617684226621781, 'y': 0.5009300791074658}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,895] Trial 231 finished with value: 9.801280921370413 and parameters: {'x': 3.348864026127328, 'y': 0.6625226793267869}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,896] Trial 232 finished with value: 9.167661545649594 and parameters: {'x': 2.481063154756097, 'y': 2.0968547757011087}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 233 finished with value: 6.150568677473988 and parameters: {'x': 1.4320715535757742, 'y': 0.45112212163791376}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,898] Trial 234 finished with value: 10.36635285952934 and parameters: {'x': 2.6644869443995005, 'y': 2.6897335048134448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,899] Trial 235 finished with value: 7.531591242768647 and parameters: {'x': 3.0831372403659976, 'y': 1.0036575398106162}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,900] Trial 236 finished with value: 10.035422239052489 and parameters: {'x': 3.5198774303521683, 'y': 1.1425514372805075}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,901] Trial 237 finished with value: 9.747190810113583 and parameters: {'x': 2.78954877508854, 'y': 2.2980258422520596}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,902] Trial 238 finished with value: 6.647193961090235 and parameters: {'x': 1.5618737305507815, 'y': 1.1428627402717866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,903] Trial 239 finished with value: 8.357914032300853 and parameters: {'x': 0.7818357971652818, 'y': 2.6659101963759047}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 240 finished with value: 9.656882953625262 and parameters: {'x': 3.2838729239453666, 'y': 1.2518782671452753}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,905] Trial 241 finished with value: 4.838606650477356 and parameters: {'x': 1.127651816024295, 'y': 0.7335738505655183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,906] Trial 242 finished with value: 12.064321613162095 and parameters: {'x': 3.3862929216823847, 'y': 3.8922095982680984}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,907] Trial 243 finished with value: 5.822931001256965 and parameters: {'x': 0.843687297412858, 'y': 1.9968974725397945}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,908] Trial 244 finished with value: 8.866855790726733 and parameters: {'x': 1.791902197140785, 'y': 2.4009084063607844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,909] Trial 245 finished with value: 6.557772166801325 and parameters: {'x': 1.9511937840850044, 'y': 1.2280913997344816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,910] Trial 246 finished with value: 9.787312354764817 and parameters: {'x': 3.3850961812501184, 'y': 1.1683630635558386}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,911] Trial 247 finished with value: 8.742829301568904 and parameters: {'x': 1.290558108097346, 'y': 2.4965225650679197}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 248 finished with value: 5.447490691876528 and parameters: {'x': 1.2059451471107838, 'y': 1.1624171543365662}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,912] Trial 249 finished with value: 9.027061550566758 and parameters: {'x': 1.9721500708771305, 'y': 2.5821701263026706}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,913] Trial 250 finished with value: 8.370883952152802 and parameters: {'x': 2.0538727135449584, 'y': 3.0770091803969715}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,914] Trial 251 finished with value: 6.1153726013671275 and parameters: {'x': 0.8027764524925125, 'y': 2.032544886977046}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,915] Trial 252 finished with value: 10.426201145618794 and parameters: {'x': 3.530000655936235, 'y': 1.9646909371038488}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,916] Trial 253 finished with value: 11.504352063246044 and parameters: {'x': 3.816490922242502, 'y': 2.574605945133567}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,917] Trial 254 finished with value: 3.6130679732594935 and parameters: {'x': 0.23439520071222253, 'y': 0.9496283244843569}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,918] Trial 255 finished with value: 8.960956292931078 and parameters: {'x': 2.429179382846859, 'y': 2.0614389779376254}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,919] Trial 256 finished with value: 7.364789420958257 and parameters: {'x': 3.035093792038067, 'y': 0.9398447121883335}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 257 finished with value: 9.673715570709936 and parameters: {'x': 3.1085749997602905, 'y': 3.082467370803549}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,920] Trial 258 finished with value: 9.00033912597185 and parameters: {'x': 1.7433926655885386, 'y': 2.815818892405104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,921] Trial 259 finished with value: 11.24134202520955 and parameters: {'x': 3.830897877980727, 'y': 3.1785503483468083}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,922] Trial 260 finished with value: 9.610231355415435 and parameters: {'x': 0.43688167234642616, 'y': 3.277646712875464}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,923] Trial 261 finished with value: 8.21666138796502 and parameters: {'x': 2.542123575455598, 'y': 0.2751187058016402}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,924] Trial 262 finished with value: 10.75947517839813 and parameters: {'x': 1.5247058737186108, 'y': 3.968763572725166}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 263 finished with value: 9.476301269444532 and parameters: {'x': 3.410888705095577, 'y': 0.13987760450072928}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,925] Trial 264 finished with value: 8.128276506902818 and parameters: {'x': 0.9167791726823133, 'y': 2.5520365155606983}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,926] Trial 265 finished with value: 5.660390527847323 and parameters: {'x': 0.13316563567089323, 'y': 1.7738623850744313}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,927] Trial 266 finished with value: 10.03745409879572 and parameters: {'x': 2.4562187521087386, 'y': 2.419717111405486}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,928] Trial 267 finished with value: 10.560729471075781 and parameters: {'x': 3.5383932628189894, 'y': 2.0750260479642955}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,929] Trial 268 finished with value: 6.911335606142488 and parameters: {'x': 1.8383476485245498, 'y': 1.269369919672592}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,930] Trial 269 finished with value: 6.263776883229383 and parameters: {'x': 1.8146924690185848, 'y': 0.7771183396725552}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,931] Trial 270 finished with value: 3.192283264509687 and parameters: {'x': 0.5438691082990537, 'y': 0.03168737130430621}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 271 finished with value: 9.25236139200286 and parameters: {'x': 1.163392218103672, 'y': 3.268717065064702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,932] Trial 272 finished with value: 7.615378153862055 and parameters: {'x': 0.11342996964423246, 'y': 2.781838540120356}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,933] Trial 273 finished with value: 12.083086480354083 and parameters: {'x': 3.718917140075738, 'y': 3.3135414546878836}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,934] Trial 274 finished with value: 8.673172499161506 and parameters: {'x': 2.7587041874302267, 'y': 2.001624771327751}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,935] Trial 275 finished with value: 8.175856457154929 and parameters: {'x': 2.262024392522807, 'y': 2.048018787543821}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,936] Trial 276 finished with value: 6.027361661814201 and parameters: {'x': 1.1483245406422165, 'y': 1.9641797906360914}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,937] Trial 277 finished with value: 10.26132967547642 and parameters: {'x': 1.2170697034940483, 'y': 3.6809586684084397}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,938] Trial 278 finished with value: 6.584369196688137 and parameters: {'x': 1.4804530139174736, 'y': 1.1573874484627762}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 279 finished with value: 8.199773560716626 and parameters: {'x': 2.2385982079618105, 'y': 1.7941482446178587}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,939] Trial 280 finished with value: 8.719226999352626 and parameters: {'x': 2.330905924819994, 'y': 1.7269819988722892}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,940] Trial 281 finished with value: 7.9595970366033875 and parameters: {'x': 2.5626694586361602, 'y': 0.14912568287478267}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,941] Trial 282 finished with value: 11.329548540338816 and parameters: {'x': 3.431748611790516, 'y': 2.4684755464465375}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,942] Trial 283 finished with value: 5.9275598315386375 and parameters: {'x': 2.092801441089609, 'y': 1.0540812353681415}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,943] Trial 284 finished with value: 7.6442036867422924 and parameters: {'x': 2.1315161168892627, 'y': 1.342052211185913}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 285 finished with value: 5.336605414006623 and parameters: {'x': 1.2293885830337024, 'y': 0.39436061033300085}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,944] Trial 286 finished with value: 8.748815175839605 and parameters: {'x': 1.5092662387537024, 'y': 2.33469150262076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,945] Trial 287 finished with value: 10.33057890967017 and parameters: {'x': 3.8696424603175674, 'y': 1.7529400600215008}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,946] Trial 288 finished with value: 8.919797455084531 and parameters: {'x': 2.736416794176971, 'y': 2.0760583880204533}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 289 finished with value: 4.441157898677751 and parameters: {'x': 0.6958328287107154, 'y': 0.470775876927795}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,948] Trial 290 finished with value: 3.900552561783101 and parameters: {'x': 0.5199313793034581, 'y': 0.32732432513248844}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,949] Trial 291 finished with value: 8.4180528356603 and parameters: {'x': 0.7484945528039133, 'y': 2.6092566567467186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,950] Trial 292 finished with value: 5.13151636527822 and parameters: {'x': 1.2725579972339172, 'y': 0.24811942487439165}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,951] Trial 293 finished with value: 9.467588278822692 and parameters: {'x': 2.8308688610430583, 'y': 3.0095214839284186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,952] Trial 294 finished with value: 11.40932682166175 and parameters: {'x': 3.5016671059800655, 'y': 3.068332225841167}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,953] Trial 295 finished with value: 11.661897145446092 and parameters: {'x': 3.4223465922726612, 'y': 3.2012730241498057}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,954] Trial 296 finished with value: 9.123309357405901 and parameters: {'x': 2.732092776659147, 'y': 2.127504908381725}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,955] Trial 297 finished with value: 9.58492096234577 and parameters: {'x': 2.812843939728247, 'y': 2.910435060816296}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,956] Trial 298 finished with value: 9.565362051884232 and parameters: {'x': 3.130495435347729, 'y': 2.9985457513559854}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,957] Trial 299 finished with value: 7.688521848293625 and parameters: {'x': 2.3808104012848714, 'y': 0.9405175456205148}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,958] Trial 300 finished with value: 9.268401643125605 and parameters: {'x': 2.660731982373358, 'y': 1.6961501616917607}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,959] Trial 301 finished with value: 11.756809498893748 and parameters: {'x': 3.5227386286659543, 'y': 3.1848834998657916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,960] Trial 302 finished with value: 9.282918995429277 and parameters: {'x': 1.600901891232203, 'y': 2.7736174889703293}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 303 finished with value: 7.659822694499102 and parameters: {'x': 2.3514385867290546, 'y': 0.8604323469568076}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,961] Trial 304 finished with value: 10.947484710652777 and parameters: {'x': 3.32130714864281, 'y': 3.0857173995915015}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,962] Trial 305 finished with value: 9.941649002120565 and parameters: {'x': 3.4685901543950464, 'y': 0.7841745036496555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,963] Trial 306 finished with value: 6.27356836019511 and parameters: {'x': 0.9345120049722722, 'y': 1.5947313886006702}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,964] Trial 307 finished with value: 11.83364009119155 and parameters: {'x': 3.753370456866888, 'y': 3.9573484830875594}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,965] Trial 308 finished with value: 11.087232620133545 and parameters: {'x': 2.279350606371401, 'y': 3.7268743041396815}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,966] Trial 309 finished with value: 9.951975997023917 and parameters: {'x': 1.2403215035040316, 'y': 3.907655524302301}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,967] Trial 310 finished with value: 7.450686198128425 and parameters: {'x': 1.4513014117435676, 'y': 1.4980418365942643}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,968] Trial 311 finished with value: 8.217850926127987 and parameters: {'x': 2.4311030505177547, 'y': 0.6706713636599648}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,969] Trial 312 finished with value: 12.406694735290257 and parameters: {'x': 3.445533620110704, 'y': 3.6864830191075653}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 313 finished with value: 8.355448839522436 and parameters: {'x': 2.4767818245907787, 'y': 0.4945173522551629}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,970] Trial 314 finished with value: 6.283579650025068 and parameters: {'x': 1.7752592462908199, 'y': 0.7951081388275099}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,971] Trial 315 finished with value: 8.632220504465216 and parameters: {'x': 0.5643025059386781, 'y': 2.684344565673266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,972] Trial 316 finished with value: 6.173476799859856 and parameters: {'x': 0.9955169767369765, 'y': 1.479993490627923}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,973] Trial 317 finished with value: 10.075216693479428 and parameters: {'x': 1.3868514166713086, 'y': 3.2996527689371966}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,974] Trial 318 finished with value: 9.83265703053972 and parameters: {'x': 3.366594797411336, 'y': 0.37837696063200044}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,975] Trial 319 finished with value: 5.7641899377365355 and parameters: {'x': 1.0936157216969309, 'y': 2.0154939269359304}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 320 finished with value: 8.039049361310239 and parameters: {'x': 3.17926984150359, 'y': 0.0792946855486929}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,976] Trial 321 finished with value: 6.374372677227711 and parameters: {'x': 2.1576817063632108, 'y': 0.1816974223108332}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,977] Trial 322 finished with value: 10.692914630859786 and parameters: {'x': 2.191060676892676, 'y': 3.7523333591725074}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,978] Trial 323 finished with value: 4.272621529228328 and parameters: {'x': 0.5120655829592051, 'y': 0.49862800124716555}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,979] Trial 324 finished with value: 5.667686004248164 and parameters: {'x': 1.974151489946808, 'y': 1.0873543411469573}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,980] Trial 325 finished with value: 3.14911825941741 and parameters: {'x': 0.05384257085487931, 'y': 0.5119500254322102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,981] Trial 326 finished with value: 11.430558534518452 and parameters: {'x': 3.167994699715818, 'y': 3.7564746079924434}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,982] Trial 327 finished with value: 9.519234463129628 and parameters: {'x': 3.922791270118661, 'y': 1.9209613389345819}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,983] Trial 328 finished with value: 8.54792782659565 and parameters: {'x': 0.6676983242757633, 'y': 2.7206798714034965}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,984] Trial 329 finished with value: 10.343957494971903 and parameters: {'x': 3.796174706674506, 'y': 1.7961720398228866}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 330 finished with value: 7.393260976478766 and parameters: {'x': 0.9303477639875446, 'y': 2.8881061672077695}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,985] Trial 331 finished with value: 4.168211622506824 and parameters: {'x': 0.568033427516911, 'y': 0.40076474146192886}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,986] Trial 332 finished with value: 8.352151380568776 and parameters: {'x': 2.5248892794224953, 'y': 0.37669484776274276}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,987] Trial 333 finished with value: 10.372212386228597 and parameters: {'x': 0.5486382147448605, 'y': 3.8023016805571226}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,988] Trial 334 finished with value: 11.465116931323431 and parameters: {'x': 2.5549011493678657, 'y': 3.9985995148160476}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,989] Trial 335 finished with value: 7.533651547982446 and parameters: {'x': 3.1122260433973805, 'y': 0.06789981521679245}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,990] Trial 336 finished with value: 4.518450949546146 and parameters: {'x': 0.8319125264768537, 'y': 0.5088830882153448}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,991] Trial 337 finished with value: 11.187215237484192 and parameters: {'x': 2.2890048592452192, 'y': 3.637230987841597}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,992] Trial 338 finished with value: 10.631217468377777 and parameters: {'x': 3.212460725698297, 'y': 3.151238069716407}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,993] Trial 339 finished with value: 7.915541564276795 and parameters: {'x': 2.74287845774048, 'y': 0.9216415115955656}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 340 finished with value: 9.673978866468232 and parameters: {'x': 3.7908591198317727, 'y': 0.1932091267248519}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,994] Trial 341 finished with value: 5.40304171497252 and parameters: {'x': 0.954423029584103, 'y': 1.969828102065398}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,995] Trial 342 finished with value: 12.042616210694453 and parameters: {'x': 3.3733840526910974, 'y': 3.376876997921342}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,996] Trial 343 finished with value: 8.785656690828066 and parameters: {'x': 0.5127988159592372, 'y': 3.034373595835823}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,997] Trial 344 finished with value: 8.058158484803876 and parameters: {'x': 1.1635372808096633, 'y': 3.0573367491756858}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,998] Trial 345 finished with value: 10.362114273889164 and parameters: {'x': 3.347100872005856, 'y': 1.5076593906340912}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:28,999] Trial 346 finished with value: 11.392777604957166 and parameters: {'x': 2.7909279129092934, 'y': 3.6798647776849185}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,000] Trial 347 finished with value: 8.257572560266517 and parameters: {'x': 1.8747106902665256, 'y': 2.9264405129485396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,001] Trial 348 finished with value: 1.191533546628932 and parameters: {'x': 0.04098816215805545, 'y': 0.17575252540152997}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,002] Trial 349 finished with value: 6.528414693370539 and parameters: {'x': 2.0986759869413723, 'y': 1.1635260998377377}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 350 finished with value: 4.578848126507644 and parameters: {'x': 0.7850809443858684, 'y': 0.5846514384255186}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,003] Trial 351 finished with value: 4.717440335628027 and parameters: {'x': 1.0561713549229714, 'y': 1.1750808591313686}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,004] Trial 352 finished with value: 8.62433938989944 and parameters: {'x': 2.914436298305064, 'y': 0.5192348455391631}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,005] Trial 353 finished with value: 8.28157910362034 and parameters: {'x': 2.515171096976729, 'y': 0.7715967853955292}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,006] Trial 354 finished with value: 8.031780167962317 and parameters: {'x': 2.499557269956178, 'y': 0.2222792532667559}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,007] Trial 355 finished with value: 9.137449237447111 and parameters: {'x': 1.677582622614922, 'y': 3.023643543029472}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,008] Trial 356 finished with value: 9.799768279881432 and parameters: {'x': 0.9309103481609493, 'y': 3.653612348612905}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,009] Trial 357 finished with value: 9.14726937689981 and parameters: {'x': 0.9114826668177916, 'y': 3.8759524431225048}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,010] Trial 358 finished with value: 8.644835094085106 and parameters: {'x': 1.2588950259545113, 'y': 2.48788875134704}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,011] Trial 359 finished with value: 9.053231827241326 and parameters: {'x': 0.5869817235510006, 'y': 3.130377458831803}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 360 finished with value: 3.411285954506919 and parameters: {'x': 0.7050586121580449, 'y': 0.12680082581006102}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,012] Trial 361 finished with value: 6.447468025493851 and parameters: {'x': 1.4220967532913322, 'y': 1.1594983078421475}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,013] Trial 362 finished with value: 9.813601898285599 and parameters: {'x': 3.685269522802166, 'y': 0.8893489297364794}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,014] Trial 363 finished with value: 8.104774870743212 and parameters: {'x': 2.532211234879781, 'y': 0.2291961280504231}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,015] Trial 364 finished with value: 11.567426758994019 and parameters: {'x': 3.580392966262677, 'y': 2.534915475101615}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,016] Trial 365 finished with value: 6.430551183634282 and parameters: {'x': 1.8510739401287246, 'y': 0.36315241813681265}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,017] Trial 366 finished with value: 10.196750361368728 and parameters: {'x': 3.9286133392638902, 'y': 3.0065275678507266}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,018] Trial 367 finished with value: 11.204693514709696 and parameters: {'x': 3.7055910447225733, 'y': 2.308877509177674}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,019] Trial 368 finished with value: 6.634120639228918 and parameters: {'x': 1.778248827954719, 'y': 0.47372214586660366}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,020] Trial 369 finished with value: 5.539252636912586 and parameters: {'x': 0.013568479012842527, 'y': 1.7195890827411842}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,021] Trial 370 finished with value: 5.976968207153636 and parameters: {'x': 1.7824860939905829, 'y': 0.9016025301978696}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 371 finished with value: 5.264081263969686 and parameters: {'x': 1.2636779461519687, 'y': 1.0270311801286396}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,022] Trial 372 finished with value: 9.719222267426572 and parameters: {'x': 1.0181424006401238, 'y': 3.686905356694062}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,023] Trial 373 finished with value: 9.17258988928529 and parameters: {'x': 3.0146465869507315, 'y': 1.4200477277472183}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,024] Trial 374 finished with value: 10.448858271486321 and parameters: {'x': 1.9164062512120363, 'y': 3.610922045132941}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,025] Trial 375 finished with value: 8.29517954260463 and parameters: {'x': 3.0542344761550297, 'y': 0.7503530230121647}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,026] Trial 376 finished with value: 5.46022332083805 and parameters: {'x': 1.3498322891457715, 'y': 0.23519239497756717}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,027] Trial 377 finished with value: 10.31151529518906 and parameters: {'x': 1.232620618038632, 'y': 3.6810969767719772}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,028] Trial 378 finished with value: 9.620428111076176 and parameters: {'x': 0.05302978990486018, 'y': 3.5562617518764283}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,029] Trial 379 finished with value: 7.145067016910065 and parameters: {'x': 2.8704006458623246, 'y': 0.05856204340429816}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 380 finished with value: 7.615509022271754 and parameters: {'x': 2.0298324622047974, 'y': 1.4358335026956333}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,030] Trial 381 finished with value: 10.916095141366544 and parameters: {'x': 2.3697860126664643, 'y': 3.321808345274754}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,031] Trial 382 finished with value: 12.399401740420132 and parameters: {'x': 3.466580215969038, 'y': 3.519267049908465}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,032] Trial 383 finished with value: 12.44262680181242 and parameters: {'x': 3.7310071734911925, 'y': 3.6643780634045138}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,033] Trial 384 finished with value: 9.142527082249929 and parameters: {'x': 2.882719416839632, 'y': 1.6461840523728104}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,034] Trial 385 finished with value: 9.239754233553501 and parameters: {'x': 2.5759608140989747, 'y': 1.5391631459672297}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,035] Trial 386 finished with value: 6.284598645056207 and parameters: {'x': 0.8702285303132826, 'y': 1.672129456953738}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 387 finished with value: 10.152804966108985 and parameters: {'x': 3.6934629366226015, 'y': 0.744845969281184}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,036] Trial 388 finished with value: 3.389312682331248 and parameters: {'x': 0.053694591129884284, 'y': 1.1261876829075792}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,037] Trial 389 finished with value: 10.283447623535013 and parameters: {'x': 3.2388795618896027, 'y': 2.974622653487798}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,038] Trial 390 finished with value: 11.302617455565434 and parameters: {'x': 3.515598201960283, 'y': 2.908952204458161}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,039] Trial 391 finished with value: 11.125939966673439 and parameters: {'x': 2.4941310914546113, 'y': 3.325759234467637}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,040] Trial 392 finished with value: 10.816812218801022 and parameters: {'x': 2.4885158267517737, 'y': 3.224158476295799}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,041] Trial 393 finished with value: 10.050727622585395 and parameters: {'x': 1.2107379893350432, 'y': 3.4332492569334763}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,042] Trial 394 finished with value: 5.95575827799291 and parameters: {'x': 0.6692460786760335, 'y': 1.3454235380425494}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 395 finished with value: 8.903415776483602 and parameters: {'x': 1.006126472829457, 'y': 3.279586119031793}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,043] Trial 396 finished with value: 4.547039657651432 and parameters: {'x': 0.7650725322320575, 'y': 0.5336811286061329}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,044] Trial 397 finished with value: 7.646434899367684 and parameters: {'x': 1.5191921106060464, 'y': 1.9600495063208347}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,045] Trial 398 finished with value: 8.23501821441278 and parameters: {'x': 2.464469780852896, 'y': 0.7313268391281604}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,046] Trial 399 finished with value: 8.78323456105996 and parameters: {'x': 2.3595946161420396, 'y': 1.4770688236450096}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,047] Trial 400 finished with value: 11.07950687309173 and parameters: {'x': 2.7633452013271462, 'y': 3.8532351310288586}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,048] Trial 401 finished with value: 9.011181143989141 and parameters: {'x': 0.655696041444696, 'y': 3.149145726131916}. Best is trial 73 with value: 0.2151968790881824.\n[I 2023-11-01 05:28:29,049] Trial 402 finished with value: 0.21108155708882137 and parameters: {'x': 0.025106650762250826, 'y': 0.044143703865536565}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 403 finished with value: 4.526352639294384 and parameters: {'x': 0.6040185419770716, 'y': 0.5878079950089186}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,050] Trial 404 finished with value: 10.340964653977816 and parameters: {'x': 3.922897219307625, 'y': 0.49698547657353664}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,051] Trial 405 finished with value: 11.540325958618682 and parameters: {'x': 2.71638072852915, 'y': 3.569585834030987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,052] Trial 406 finished with value: 6.933258476365397 and parameters: {'x': 2.959069099663764, 'y': 0.04356363809009567}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,053] Trial 407 finished with value: 10.254178574604502 and parameters: {'x': 2.6298707108398554, 'y': 2.4547503705112566}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,054] Trial 408 finished with value: 10.405598398037926 and parameters: {'x': 1.7389756543820347, 'y': 3.3948028236020438}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,055] Trial 409 finished with value: 10.05170557739612 and parameters: {'x': 2.1334557265352014, 'y': 3.868058156883832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 410 finished with value: 7.887839083942328 and parameters: {'x': 1.6287170896550038, 'y': 2.0897524947265884}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,056] Trial 411 finished with value: 10.097956892334187 and parameters: {'x': 0.26943310227075745, 'y': 3.6493057219845557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,057] Trial 412 finished with value: 12.397487232313319 and parameters: {'x': 3.6728053515894983, 'y': 3.7555399684970867}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,059] Trial 413 finished with value: 7.7502659636836295 and parameters: {'x': 2.1963460321873667, 'y': 1.8724424201058856}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,060] Trial 414 finished with value: 12.241300305489641 and parameters: {'x': 3.4785432697512286, 'y': 3.923978720743307}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,061] Trial 415 finished with value: 9.624761197683 and parameters: {'x': 2.996713083928662, 'y': 2.3080426422065425}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,062] Trial 416 finished with value: 8.886410547926278 and parameters: {'x': 0.10292278890589968, 'y': 3.986448817996}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,063] Trial 417 finished with value: 12.100939315290324 and parameters: {'x': 3.771874453396725, 'y': 3.3433333766881055}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,064] Trial 418 finished with value: 9.49851289582427 and parameters: {'x': 1.3519286769698113, 'y': 3.172081894155109}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,066] Trial 419 finished with value: 8.485090347805786 and parameters: {'x': 2.7821019543892733, 'y': 0.3698217566305906}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,067] Trial 420 finished with value: 7.063063066010319 and parameters: {'x': 0.5229450172512125, 'y': 2.09602817646162}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,068] Trial 421 finished with value: 7.590651626257822 and parameters: {'x': 2.280842459714937, 'y': 1.1567589240790626}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,069] Trial 422 finished with value: 10.344647702828512 and parameters: {'x': 3.8273839653448762, 'y': 0.5691294933683881}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,070] Trial 423 finished with value: 8.547161960427571 and parameters: {'x': 1.2455727745592617, 'y': 2.4579433723422466}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 424 finished with value: 2.526398416087993 and parameters: {'x': 0.346073360573548, 'y': 0.07793340180577557}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,073] Trial 425 finished with value: 10.148507008831835 and parameters: {'x': 3.999959224017629, 'y': 2.1755982994371954}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,074] Trial 426 finished with value: 9.038592963824982 and parameters: {'x': 2.591949962224946, 'y': 1.9928356931176459}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,075] Trial 427 finished with value: 6.9931641066296955 and parameters: {'x': 2.236211904249122, 'y': 0.21387538672672113}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,076] Trial 428 finished with value: 9.134617235514785 and parameters: {'x': 3.158548992949356, 'y': 2.116827573324681}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,077] Trial 429 finished with value: 3.261339563420208 and parameters: {'x': 1.095888545241697, 'y': 0.08121109210178323}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,078] Trial 430 finished with value: 5.795248953033454 and parameters: {'x': 0.7365576458376459, 'y': 1.3205923166777298}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,080] Trial 431 finished with value: 12.252994876582656 and parameters: {'x': 3.9556281513375544, 'y': 3.599134727042208}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,083] Trial 432 finished with value: 9.50669025502117 and parameters: {'x': 2.2612986337706773, 'y': 2.8305818026196548}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,086] Trial 433 finished with value: 6.17155536225377 and parameters: {'x': 1.4535549443577427, 'y': 0.8061218372041883}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,087] Trial 434 finished with value: 7.330274947797166 and parameters: {'x': 2.998473426438397, 'y': 1.0577641880364999}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,088] Trial 435 finished with value: 8.234903033718643 and parameters: {'x': 2.6969037673592906, 'y': 1.1116266886879185}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,089] Trial 436 finished with value: 10.626381760856646 and parameters: {'x': 2.4911711112382458, 'y': 3.1667404829508645}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,090] Trial 437 finished with value: 6.508127609588357 and parameters: {'x': 1.7007902059654354, 'y': 0.39030525510783143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,091] Trial 438 finished with value: 9.044811275943646 and parameters: {'x': 1.7013920933763602, 'y': 2.858407769926415}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 439 finished with value: 9.008508877213199 and parameters: {'x': 3.041837585563343, 'y': 2.191445148488896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,092] Trial 440 finished with value: 11.905780093271849 and parameters: {'x': 3.226206925709196, 'y': 3.5904942026565596}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,093] Trial 441 finished with value: 9.93731915889512 and parameters: {'x': 3.349901621290708, 'y': 1.2592206426730508}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,094] Trial 442 finished with value: 8.975206970956329 and parameters: {'x': 2.1533551473851507, 'y': 2.3477216015918714}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,095] Trial 443 finished with value: 11.022339107405864 and parameters: {'x': 3.7218204317554098, 'y': 2.969339733446317}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,096] Trial 444 finished with value: 7.793452455376546 and parameters: {'x': 2.9749405864994456, 'y': 0.8144062904287135}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,097] Trial 445 finished with value: 5.3928498697735385 and parameters: {'x': 1.0023536798403767, 'y': 1.9609821375155065}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,098] Trial 446 finished with value: 8.44113147671768 and parameters: {'x': 0.578915866335016, 'y': 2.514276989395927}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,099] Trial 447 finished with value: 9.260996483941742 and parameters: {'x': 2.546649800269987, 'y': 2.103928080274987}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,100] Trial 448 finished with value: 8.355894074982917 and parameters: {'x': 2.4916755111872475, 'y': 0.443576668606922}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,101] Trial 449 finished with value: 10.857185288969665 and parameters: {'x': 3.9927550695232834, 'y': 2.780052820739364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,102] Trial 450 finished with value: 9.6700383959976 and parameters: {'x': 3.372010239312165, 'y': 0.27511738674902375}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,103] Trial 451 finished with value: 9.626184795100908 and parameters: {'x': 0.7461085156314828, 'y': 3.337309217922648}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,104] Trial 452 finished with value: 9.649121603028515 and parameters: {'x': 2.789330472287906, 'y': 2.935068581388643}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,105] Trial 453 finished with value: 5.052213553206837 and parameters: {'x': 0.2620305670474905, 'y': 1.2484923925015976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 454 finished with value: 9.222251359304856 and parameters: {'x': 2.782626659345648, 'y': 1.4677608336129824}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,106] Trial 455 finished with value: 10.436945315860191 and parameters: {'x': 3.6936877337548544, 'y': 1.8510790107698516}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,107] Trial 456 finished with value: 4.962481628455059 and parameters: {'x': 0.4089812959284349, 'y': 1.1398111353619549}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,108] Trial 457 finished with value: 6.51230720914808 and parameters: {'x': 1.6231294294881788, 'y': 0.7295441233125257}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,109] Trial 458 finished with value: 10.56229721261589 and parameters: {'x': 1.650641190443264, 'y': 3.426933525709896}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,110] Trial 459 finished with value: 9.653118757839884 and parameters: {'x': 2.61592306415803, 'y': 2.2206931869195916}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,111] Trial 460 finished with value: 10.67350425509411 and parameters: {'x': 1.7521963772660163, 'y': 3.558573523393536}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,112] Trial 461 finished with value: 8.708600936674987 and parameters: {'x': 1.9271105969994888, 'y': 2.393237861052923}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,113] Trial 462 finished with value: 3.7506086448421634 and parameters: {'x': 1.0494635736730475, 'y': 0.9584980735204098}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,114] Trial 463 finished with value: 9.598474512965854 and parameters: {'x': 0.03539959574504348, 'y': 3.6231365952220584}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,116] Trial 464 finished with value: 8.974946699354579 and parameters: {'x': 0.9809944954317862, 'y': 3.8863509276479857}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,117] Trial 465 finished with value: 7.772058988673429 and parameters: {'x': 1.0510947219993967, 'y': 3.1081610988411383}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,118] Trial 466 finished with value: 9.276000540651202 and parameters: {'x': 2.6260969953224196, 'y': 2.113940854424979}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,119] Trial 467 finished with value: 9.471032643776867 and parameters: {'x': 0.743259416089181, 'y': 3.2970146386381223}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,120] Trial 468 finished with value: 10.259476572914593 and parameters: {'x': 3.8217833488349022, 'y': 0.6361069051358492}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 469 finished with value: 6.457099650100211 and parameters: {'x': 0.7645348847707507, 'y': 1.6984123902533894}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,121] Trial 470 finished with value: 2.063085021632414 and parameters: {'x': 0.19769269071737483, 'y': 0.18945631103221228}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,122] Trial 471 finished with value: 4.207855684959583 and parameters: {'x': 0.40157342389645523, 'y': 0.594188019456364}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,123] Trial 472 finished with value: 4.146218703746907 and parameters: {'x': 0.3423750083190007, 'y': 0.8019459319131306}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,124] Trial 473 finished with value: 10.01353546655346 and parameters: {'x': 2.5958179050471477, 'y': 2.341003534870675}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,125] Trial 474 finished with value: 9.569395460866058 and parameters: {'x': 1.510089205063304, 'y': 3.1127636951494377}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,126] Trial 475 finished with value: 6.283597376683087 and parameters: {'x': 0.7360855719356194, 'y': 1.9490968776301902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,127] Trial 476 finished with value: 7.869681957805096 and parameters: {'x': 0.9096106796882286, 'y': 2.764915570387479}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,128] Trial 477 finished with value: 11.192095977398395 and parameters: {'x': 2.8037299655192665, 'y': 3.7620631677983236}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,129] Trial 478 finished with value: 4.427443669547809 and parameters: {'x': 0.6591004528098448, 'y': 0.47741899872377846}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 479 finished with value: 10.354234141119697 and parameters: {'x': 3.7934581813527313, 'y': 0.44935790813022347}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,130] Trial 480 finished with value: 11.472892968979941 and parameters: {'x': 3.6969090560602127, 'y': 3.1385155822785213}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,131] Trial 481 finished with value: 9.575248257035602 and parameters: {'x': 0.7423717629231437, 'y': 3.3220258703289143}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,132] Trial 482 finished with value: 6.708094948839129 and parameters: {'x': 0.11392226349831924, 'y': 2.248702684925605}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,133] Trial 483 finished with value: 7.512671613029504 and parameters: {'x': 1.6545076524482751, 'y': 1.4079545649809178}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,134] Trial 484 finished with value: 9.225371873776844 and parameters: {'x': 3.1197440455956627, 'y': 1.7480286992791503}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,135] Trial 485 finished with value: 8.644775582144975 and parameters: {'x': 3.277433870074068, 'y': 0.03762725050179805}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,136] Trial 486 finished with value: 9.34806610224668 and parameters: {'x': 2.130809674433918, 'y': 2.559396381704046}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,137] Trial 487 finished with value: 10.235510313932078 and parameters: {'x': 1.3029296167223055, 'y': 3.4136852817415533}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,138] Trial 488 finished with value: 8.505807953242515 and parameters: {'x': 2.715452161679803, 'y': 0.6948465727890976}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 489 finished with value: 5.927707311877974 and parameters: {'x': 1.3414850400325458, 'y': 0.5075975702630036}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,139] Trial 490 finished with value: 11.103488669840118 and parameters: {'x': 2.319494070977358, 'y': 3.4488429902385724}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,140] Trial 491 finished with value: 10.355196985609664 and parameters: {'x': 3.96479539855673, 'y': 2.2110810986202902}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,141] Trial 492 finished with value: 8.829678564856053 and parameters: {'x': 0.17281094473408487, 'y': 3.2493371853435034}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,142] Trial 493 finished with value: 6.7152972835150315 and parameters: {'x': 2.0030516525284563, 'y': 0.6144779672961334}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,143] Trial 494 finished with value: 8.83428182278424 and parameters: {'x': 0.4728307107402876, 'y': 3.058814201887216}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,144] Trial 495 finished with value: 4.5846587937858025 and parameters: {'x': 0.18319816044558834, 'y': 1.2216716397362832}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,145] Trial 496 finished with value: 11.24437461300541 and parameters: {'x': 3.3709738172649604, 'y': 2.5037428477898285}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,146] Trial 497 finished with value: 10.611654875736399 and parameters: {'x': 2.1195657505770105, 'y': 3.6646007700484367}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,147] Trial 498 finished with value: 6.9973027578278995 and parameters: {'x': 1.9878017516227215, 'y': 1.8250387245599597}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] Trial 499 finished with value: 9.515740035109893 and parameters: {'x': 3.78782724739539, 'y': 0.15184831525247633}. Best is trial 402 with value: 0.21108155708882137.\n[I 2023-11-01 05:28:29,148] A new study created in memory with name: x=[1,3), y=[1,3)\n[I 2023-11-01 05:28:29,149] Trial 0 finished with value: 9.501280285096856 and parameters: {'x': 2.1795551304711878, 'y': 2.5469138645456475}. Best is trial 0 with value: 9.501280285096856.\n[I 2023-11-01 05:28:29,150] Trial 1 finished with value: 7.689690058529395 and parameters: {'x': 2.116941820323029, 'y': 1.3704460118285542}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,151] Trial 2 finished with value: 8.869154016661145 and parameters: {'x': 1.734893579523559, 'y': 2.3800301262465355}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,152] Trial 3 finished with value: 9.217083724375263 and parameters: {'x': 2.5463037482718427, 'y': 1.698250749178961}. Best is trial 1 with value: 7.689690058529395.\n[I 2023-11-01 05:28:29,153] Trial 4 finished with value: 6.620326818681299 and parameters: {'x': 1.3418267714049732, 'y': 1.2749591602362444}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,153] Trial 5 finished with value: 9.947604021051855 and parameters: {'x': 2.328190210719468, 'y': 2.542129917484096}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,154] Trial 6 finished with value: 10.111364306571687 and parameters: {'x': 2.992415863822332, 'y': 2.445973518335129}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,155] Trial 7 finished with value: 8.117689709113845 and parameters: {'x': 2.518112634863238, 'y': 1.0345349209545471}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,156] Trial 8 finished with value: 8.599980015079133 and parameters: {'x': 1.985150133883719, 'y': 2.361999061196193}. Best is trial 4 with value: 6.620326818681299.\n[I 2023-11-01 05:28:29,157] Trial 9 finished with value: 6.466307419325002 and parameters: {'x': 1.0815335322750994, 'y': 1.6010550958884728}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,158] Trial 10 finished with value: 8.748658037765297 and parameters: {'x': 1.983065686509458, 'y': 2.4013248906189615}. Best is trial 9 with value: 6.466307419325002.\n[I 2023-11-01 05:28:29,159] Trial 11 finished with value: 4.280422047649996 and parameters: {'x': 1.0053750515354973, 'y': 1.1344853944712368}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,159] Trial 12 finished with value: 7.631641045157027 and parameters: {'x': 1.5136532280501904, 'y': 1.5621179581261906}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,160] Trial 13 finished with value: 5.126684569001355 and parameters: {'x': 1.0943183618191, 'y': 1.2102968958712526}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 14 finished with value: 9.200375404047493 and parameters: {'x': 1.485146457738034, 'y': 2.9442744467689}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,162] Trial 15 finished with value: 9.496066674328905 and parameters: {'x': 2.9893985683076987, 'y': 2.285295712632221}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,163] Trial 16 finished with value: 9.20722421376879 and parameters: {'x': 2.888794756172593, 'y': 2.9479421929365683}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,164] Trial 17 finished with value: 9.820418190182155 and parameters: {'x': 2.7489324125385366, 'y': 2.929928470528349}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,165] Trial 18 finished with value: 7.68682424815664 and parameters: {'x': 1.7693477747355273, 'y': 1.6880511561059623}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,166] Trial 19 finished with value: 6.23361005262851 and parameters: {'x': 1.0278738361908484, 'y': 1.4858953052005117}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 20 finished with value: 8.183951521175912 and parameters: {'x': 2.191259277116293, 'y': 1.4515483770275646}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,167] Trial 21 finished with value: 8.387527249929715 and parameters: {'x': 2.317659241765322, 'y': 1.9236263660786883}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,168] Trial 22 finished with value: 7.28969285733878 and parameters: {'x': 1.7768688655704867, 'y': 1.3408983120046298}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,169] Trial 23 finished with value: 9.661281182879502 and parameters: {'x': 2.2434246133626727, 'y': 2.706378756341615}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,170] Trial 24 finished with value: 9.241054440156928 and parameters: {'x': 1.639685998678829, 'y': 2.550800978853915}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,171] Trial 25 finished with value: 9.492202191083631 and parameters: {'x': 2.8437203833277316, 'y': 2.8949435337203635}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 26 finished with value: 8.739874474944795 and parameters: {'x': 1.459781325603565, 'y': 2.351888773662857}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,172] Trial 27 finished with value: 8.973115982363957 and parameters: {'x': 1.6843967683601837, 'y': 2.4048917604855475}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,173] Trial 28 finished with value: 8.47252181314089 and parameters: {'x': 2.922716542694479, 'y': 1.2624815334953179}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,174] Trial 29 finished with value: 7.849748665716774 and parameters: {'x': 2.0648190920986487, 'y': 1.5820191742716103}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,175] Trial 30 finished with value: 7.225452638805441 and parameters: {'x': 1.3323600161247302, 'y': 2.0169392602346585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,176] Trial 31 finished with value: 8.497265009934077 and parameters: {'x': 1.1907150947448137, 'y': 2.711658305757213}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,178] Trial 32 finished with value: 5.58563603594332 and parameters: {'x': 1.164753074337394, 'y': 1.226778345604655}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 33 finished with value: 7.513168780303209 and parameters: {'x': 1.438771558179375, 'y': 1.8561933890452214}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,179] Trial 34 finished with value: 10.036185032484997 and parameters: {'x': 2.7588346246330424, 'y': 2.8045362579158644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,180] Trial 35 finished with value: 9.725500430892048 and parameters: {'x': 2.248857539172614, 'y': 2.5451257493449897}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,181] Trial 36 finished with value: 9.303195937042831 and parameters: {'x': 2.6499797485839593, 'y': 2.129994395445907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,182] Trial 37 finished with value: 7.504659314912903 and parameters: {'x': 1.4170785888985076, 'y': 1.6023382914670337}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,183] Trial 38 finished with value: 7.594638748301016 and parameters: {'x': 1.8407705077703342, 'y': 1.4766582402639137}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 39 finished with value: 8.334347071558396 and parameters: {'x': 1.1195428355366783, 'y': 2.644368853359082}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,184] Trial 40 finished with value: 7.595379550393446 and parameters: {'x': 1.6520069020915964, 'y': 1.9757114648600385}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,185] Trial 41 finished with value: 8.914385594429811 and parameters: {'x': 1.6470517107976008, 'y': 2.376989100206301}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,186] Trial 42 finished with value: 7.0818112184634625 and parameters: {'x': 1.9628877719392275, 'y': 1.3183124993698585}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,187] Trial 43 finished with value: 8.913268618568011 and parameters: {'x': 2.6933015848984994, 'y': 1.8982819389972656}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,188] Trial 44 finished with value: 6.274280378720249 and parameters: {'x': 1.0099471446301753, 'y': 1.527052381039326}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,189] Trial 45 finished with value: 5.204000585932636 and parameters: {'x': 1.216951047813766, 'y': 1.1013262039458973}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 46 finished with value: 9.741805624133733 and parameters: {'x': 2.5259678280944784, 'y': 2.259709570452115}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,190] Trial 47 finished with value: 6.296778616088442 and parameters: {'x': 1.5291890491860796, 'y': 1.0228639505783026}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,191] Trial 48 finished with value: 9.129572645190375 and parameters: {'x': 2.47957554253214, 'y': 1.581063419584534}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,192] Trial 49 finished with value: 10.03449672210819 and parameters: {'x': 2.4140777216988454, 'y': 2.8688241358588593}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,193] Trial 50 finished with value: 7.986420805613088 and parameters: {'x': 1.5869407958655537, 'y': 2.1086035965849828}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,194] Trial 51 finished with value: 7.78469008465053 and parameters: {'x': 1.3794951150973072, 'y': 2.133730616674673}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 52 finished with value: 10.346702498937645 and parameters: {'x': 2.6600353834124157, 'y': 2.5265542823496276}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,195] Trial 53 finished with value: 8.397521047633518 and parameters: {'x': 2.8978919897984197, 'y': 2.0946088457485397}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,196] Trial 54 finished with value: 8.729635565576425 and parameters: {'x': 2.3226416072190963, 'y': 2.1163001449679175}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,197] Trial 55 finished with value: 6.563335605862068 and parameters: {'x': 1.2163645109709191, 'y': 1.871269427619554}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,198] Trial 56 finished with value: 6.873609887768213 and parameters: {'x': 1.2251556830566572, 'y': 1.7367674345443647}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,199] Trial 57 finished with value: 8.80557668194253 and parameters: {'x': 2.3857385187069093, 'y': 1.8044692754689606}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 58 finished with value: 8.48024561077549 and parameters: {'x': 2.859408136043024, 'y': 1.8608932253951125}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,200] Trial 59 finished with value: 7.929450226423043 and parameters: {'x': 1.069350630996834, 'y': 2.4151552500515012}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,201] Trial 60 finished with value: 7.524695733250729 and parameters: {'x': 1.5090899388472594, 'y': 1.4852477824087806}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,202] Trial 61 finished with value: 6.916920537471675 and parameters: {'x': 1.641179571690034, 'y': 1.2137699988751192}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,203] Trial 62 finished with value: 10.022015362074939 and parameters: {'x': 2.354751893467662, 'y': 2.7214581032189935}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,204] Trial 63 finished with value: 5.569058505649405 and parameters: {'x': 1.8750334501787682, 'y': 1.0065938879959706}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,205] Trial 64 finished with value: 9.236481240422165 and parameters: {'x': 2.7225253991380605, 'y': 1.463453956459146}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,206] Trial 65 finished with value: 7.589909153165305 and parameters: {'x': 1.8828143174093952, 'y': 1.4849961540002887}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,207] Trial 66 finished with value: 6.057427416925147 and parameters: {'x': 1.1136598146306471, 'y': 2.0651176783638157}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,208] Trial 67 finished with value: 5.333604535066673 and parameters: {'x': 1.1521593149514442, 'y': 1.1967712091492033}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,209] Trial 68 finished with value: 8.47663339990434 and parameters: {'x': 2.7331662465388735, 'y': 1.1946410227095325}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 69 finished with value: 6.1557427755607605 and parameters: {'x': 2.115689757806627, 'y': 1.075954418838918}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,210] Trial 70 finished with value: 8.21432386178338 and parameters: {'x': 2.426697315572791, 'y': 1.1610984577096755}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,211] Trial 71 finished with value: 9.150950844862605 and parameters: {'x': 1.4810568123213028, 'y': 2.5428552435500063}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,212] Trial 72 finished with value: 6.446630137296186 and parameters: {'x': 1.9154490857784012, 'y': 1.2081435102536793}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,213] Trial 73 finished with value: 7.702963494527083 and parameters: {'x': 1.5491345118660198, 'y': 1.5939876007739795}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,214] Trial 74 finished with value: 7.005032748152567 and parameters: {'x': 1.826844626954173, 'y': 1.9268425602050288}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 75 finished with value: 9.27183740472173 and parameters: {'x': 1.498215097882374, 'y': 2.676718866467224}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,215] Trial 76 finished with value: 6.1788202097104445 and parameters: {'x': 1.4090942518581993, 'y': 1.092598285985039}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,216] Trial 77 finished with value: 8.983446483572983 and parameters: {'x': 2.2413872996736677, 'y': 2.262636501594432}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,217] Trial 78 finished with value: 8.216516191382501 and parameters: {'x': 1.1779154251103852, 'y': 2.812668726136599}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,218] Trial 79 finished with value: 8.454386883504299 and parameters: {'x': 2.3305972180416967, 'y': 1.9835764247236907}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,219] Trial 80 finished with value: 7.850643863378659 and parameters: {'x': 1.7388072343407257, 'y': 2.1404356549330252}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,220] Trial 81 finished with value: 8.548120869822377 and parameters: {'x': 1.2355723676495973, 'y': 2.4716454451936927}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 82 finished with value: 8.386285418856902 and parameters: {'x': 2.7552139515981446, 'y': 1.1836615335225171}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,221] Trial 83 finished with value: 9.33277811056341 and parameters: {'x': 2.2088941144948118, 'y': 2.792964798250159}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,222] Trial 84 finished with value: 10.191009221350768 and parameters: {'x': 2.585848255012078, 'y': 2.9630703840002472}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,223] Trial 85 finished with value: 9.199310232934744 and parameters: {'x': 2.748849783785084, 'y': 1.441554730785663}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,224] Trial 86 finished with value: 9.2646294664593 and parameters: {'x': 1.5948713689545138, 'y': 2.8027793439493904}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,225] Trial 87 finished with value: 7.080688050613922 and parameters: {'x': 1.9661671599435053, 'y': 1.8037364200866381}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,226] Trial 88 finished with value: 9.013415425450534 and parameters: {'x': 2.4163310734970684, 'y': 1.636886697540102}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 89 finished with value: 6.866821452286725 and parameters: {'x': 1.890540471699981, 'y': 1.88483373776394}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,227] Trial 90 finished with value: 5.959158557344825 and parameters: {'x': 1.3281373141813404, 'y': 1.125500051842644}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,228] Trial 91 finished with value: 7.87159220193886 and parameters: {'x': 2.359511515835968, 'y': 1.1279106069988678}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,229] Trial 92 finished with value: 9.202654686101095 and parameters: {'x': 1.4685789842334418, 'y': 2.604580581576726}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,230] Trial 93 finished with value: 7.6448009517846 and parameters: {'x': 2.0921232065193225, 'y': 1.73682311950304}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,231] Trial 94 finished with value: 6.6725930457942475 and parameters: {'x': 1.6921203518903358, 'y': 1.1628807707949569}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,232] Trial 95 finished with value: 6.116863193669975 and parameters: {'x': 1.0694790248579369, 'y': 1.4104985430277928}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,233] Trial 96 finished with value: 8.847283521590567 and parameters: {'x': 1.9662722891008542, 'y': 2.701251138159574}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,234] Trial 97 finished with value: 8.443230082626295 and parameters: {'x': 2.2382451209071936, 'y': 1.6551477720943748}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,235] Trial 98 finished with value: 7.671184542786042 and parameters: {'x': 1.9676209973302294, 'y': 1.5656060031227454}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,236] Trial 99 finished with value: 4.788155844147777 and parameters: {'x': 1.0151800894576377, 'y': 1.200455850814773}. Best is trial 11 with value: 4.280422047649996.\n[I 2023-11-01 05:28:29,237] Trial 100 finished with value: 4.045505869420193 and parameters: {'x': 1.0652252404158025, 'y': 1.0635003202026654}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 101 finished with value: 9.330788286768396 and parameters: {'x': 2.4173773897708193, 'y': 2.1901578920897675}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,238] Trial 102 finished with value: 7.069570698766446 and parameters: {'x': 1.1168049032504792, 'y': 2.222497516983431}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,239] Trial 103 finished with value: 6.317079292167321 and parameters: {'x': 1.0975025588917013, 'y': 2.12549533279568}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,240] Trial 104 finished with value: 9.29855178082329 and parameters: {'x': 1.5324004580461716, 'y': 2.723016150949123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,241] Trial 105 finished with value: 9.192696852614601 and parameters: {'x': 1.4808206774849857, 'y': 2.579008136152047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,242] Trial 106 finished with value: 8.408472658306273 and parameters: {'x': 2.831926346840218, 'y': 1.9197290242202152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,243] Trial 107 finished with value: 10.135310503921435 and parameters: {'x': 2.432192587200304, 'y': 2.5119874467684147}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,244] Trial 108 finished with value: 8.879378516475859 and parameters: {'x': 1.7407377105650303, 'y': 2.3855217737559635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,245] Trial 109 finished with value: 9.055230122907686 and parameters: {'x': 2.717636437055245, 'y': 2.0991095781429183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,246] Trial 110 finished with value: 7.293293823977846 and parameters: {'x': 1.0877372743905704, 'y': 2.273650413650829}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,247] Trial 111 finished with value: 8.919022535429784 and parameters: {'x': 2.95854396879389, 'y': 1.719039694018197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 112 finished with value: 7.3372819602724455 and parameters: {'x': 1.3623366154825576, 'y': 1.5554901490716264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,248] Trial 113 finished with value: 9.030101823932666 and parameters: {'x': 2.6595623168637306, 'y': 1.349405406692998}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,250] Trial 114 finished with value: 6.072245230822357 and parameters: {'x': 1.025040018500134, 'y': 1.4270855245256404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 115 finished with value: 7.427324175144104 and parameters: {'x': 1.5847021930614489, 'y': 1.388083865430075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,251] Trial 116 finished with value: 7.401331252563596 and parameters: {'x': 1.1720633580392537, 'y': 2.236009826109792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,252] Trial 117 finished with value: 7.707729664135554 and parameters: {'x': 1.6475738512480638, 'y': 1.7842152507174118}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,253] Trial 118 finished with value: 8.353403949911574 and parameters: {'x': 2.2922788419771853, 'y': 2.047108234443308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,254] Trial 119 finished with value: 7.901261536827631 and parameters: {'x': 2.0811791251484095, 'y': 1.5553480135828408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,255] Trial 120 finished with value: 7.929999755129986 and parameters: {'x': 2.1030085786156674, 'y': 1.6315349542573745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,256] Trial 121 finished with value: 9.288051746041393 and parameters: {'x': 2.249248175133083, 'y': 2.9212579305581805}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,257] Trial 122 finished with value: 9.073790993777054 and parameters: {'x': 2.556831585636369, 'y': 2.0192050725676203}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,258] Trial 123 finished with value: 6.1928075617926694 and parameters: {'x': 1.381008070971709, 'y': 1.127196872196507}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,259] Trial 124 finished with value: 10.156698962301324 and parameters: {'x': 2.984010254713117, 'y': 2.4756838541668325}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,260] Trial 125 finished with value: 9.874975505572541 and parameters: {'x': 2.48926356962497, 'y': 2.32310916596693}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,261] Trial 126 finished with value: 8.4403157532315 and parameters: {'x': 1.1674159135861502, 'y': 2.5243468662283424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,262] Trial 127 finished with value: 9.139515973359657 and parameters: {'x': 2.9124136588486005, 'y': 1.448544851596652}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,263] Trial 128 finished with value: 7.359019764415692 and parameters: {'x': 1.845559429941528, 'y': 1.3798715708393237}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,264] Trial 129 finished with value: 8.801406402850382 and parameters: {'x': 2.793280477391969, 'y': 2.0995429900681835}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,265] Trial 130 finished with value: 9.16027496754532 and parameters: {'x': 2.958814654897644, 'y': 1.4501058360334536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,266] Trial 131 finished with value: 9.043089465124277 and parameters: {'x': 2.5531846030820153, 'y': 1.394148666766868}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,267] Trial 132 finished with value: 7.606828759224673 and parameters: {'x': 1.628976929975279, 'y': 1.4619861318720995}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,268] Trial 133 finished with value: 9.070587375279917 and parameters: {'x': 1.419020074634894, 'y': 2.5430493560865637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,269] Trial 134 finished with value: 8.922647531691823 and parameters: {'x': 2.403540709078335, 'y': 1.5039144423310895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,270] Trial 135 finished with value: 7.967844530950847 and parameters: {'x': 1.8344664008911205, 'y': 2.2154175816586967}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,271] Trial 136 finished with value: 6.626032192071815 and parameters: {'x': 1.1376050758152119, 'y': 1.5572043930324122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,272] Trial 137 finished with value: 9.659594459444406 and parameters: {'x': 2.7866196797539673, 'y': 2.9979820048454564}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,273] Trial 138 finished with value: 6.347014296917756 and parameters: {'x': 1.1499787305081524, 'y': 1.4010452377707163}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,274] Trial 139 finished with value: 7.529375914538674 and parameters: {'x': 1.4493857009516564, 'y': 1.9428251265097687}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,275] Trial 140 finished with value: 8.81677041121904 and parameters: {'x': 1.3251875112150269, 'y': 2.9930602325129616}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,276] Trial 141 finished with value: 6.910809469825855 and parameters: {'x': 1.265056131105021, 'y': 2.0342370126064235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,277] Trial 142 finished with value: 8.270503495062389 and parameters: {'x': 1.6712378350511055, 'y': 2.2009435486868285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,278] Trial 143 finished with value: 7.452760285030202 and parameters: {'x': 1.3978757960635275, 'y': 1.5886968818444087}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,279] Trial 144 finished with value: 8.04404936965607 and parameters: {'x': 2.2430845548658915, 'y': 2.043992069057082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,280] Trial 145 finished with value: 9.037078848946711 and parameters: {'x': 2.541655139697369, 'y': 1.8839124502404339}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,281] Trial 146 finished with value: 6.982951805949881 and parameters: {'x': 1.781374575788557, 'y': 1.2651621081908913}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,282] Trial 147 finished with value: 9.20171480473229 and parameters: {'x': 1.6080598211760768, 'y': 2.9650186697000382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,283] Trial 148 finished with value: 6.452025938356062 and parameters: {'x': 1.1479419006340799, 'y': 1.4382449336931642}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,284] Trial 149 finished with value: 8.409147936673097 and parameters: {'x': 1.1982455088041204, 'y': 2.458225719447706}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,285] Trial 150 finished with value: 7.5725037722601485 and parameters: {'x': 1.9508953118972576, 'y': 1.6558619568319393}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 151 finished with value: 8.982528233453667 and parameters: {'x': 1.5525808084216455, 'y': 2.41293048193209}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,286] Trial 152 finished with value: 9.041991086654965 and parameters: {'x': 2.0937943692816763, 'y': 2.4277592159001715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,287] Trial 153 finished with value: 5.742279919822625 and parameters: {'x': 1.9597368328208227, 'y': 1.101870834317938}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,288] Trial 154 finished with value: 7.662524506220276 and parameters: {'x': 1.3428920411087246, 'y': 2.135148324498201}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,291] Trial 155 finished with value: 5.412915944788196 and parameters: {'x': 1.990908743954472, 'y': 1.0050198191556126}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,292] Trial 156 finished with value: 7.384637681531171 and parameters: {'x': 1.8039469768756087, 'y': 2.0905831063243143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,293] Trial 157 finished with value: 7.362225966959187 and parameters: {'x': 1.4451194939759322, 'y': 1.4525537484113495}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,294] Trial 158 finished with value: 10.222437021084144 and parameters: {'x': 2.6488242314394013, 'y': 2.433715704140214}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,295] Trial 159 finished with value: 6.896605385291597 and parameters: {'x': 1.027065396478891, 'y': 2.2375282061374557}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,296] Trial 160 finished with value: 9.070807682748207 and parameters: {'x': 2.965189425709962, 'y': 1.4068019970945893}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,297] Trial 161 finished with value: 8.24245966683869 and parameters: {'x': 2.4278280268516204, 'y': 1.1692189477956123}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,298] Trial 162 finished with value: 5.673508204977029 and parameters: {'x': 1.0721727531477638, 'y': 2.0209882776353236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,299] Trial 163 finished with value: 6.685128269118291 and parameters: {'x': 1.0176360039225363, 'y': 2.210740833205314}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,300] Trial 164 finished with value: 7.608037762971426 and parameters: {'x': 1.871629158495657, 'y': 1.6523483721870136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,301] Trial 165 finished with value: 10.386096910354778 and parameters: {'x': 2.5895300471814746, 'y': 2.6305378593259974}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,302] Trial 166 finished with value: 7.40514642679503 and parameters: {'x': 1.7243774639538723, 'y': 1.9789454770033412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,303] Trial 167 finished with value: 9.33732591568054 and parameters: {'x': 2.1457972131567966, 'y': 2.666277852044355}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,304] Trial 168 finished with value: 7.517325492079699 and parameters: {'x': 1.5730197790114377, 'y': 1.436315023136025}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,305] Trial 169 finished with value: 8.954057110696501 and parameters: {'x': 2.565349052914175, 'y': 1.340767290504819}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,306] Trial 170 finished with value: 7.628363624986125 and parameters: {'x': 1.1240421322715355, 'y': 2.9812662390210587}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,307] Trial 171 finished with value: 7.895166227239825 and parameters: {'x': 2.097114156405027, 'y': 1.4841161709967734}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,308] Trial 172 finished with value: 9.650496346883967 and parameters: {'x': 2.878011320154017, 'y': 2.3083770732523208}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,309] Trial 173 finished with value: 10.179377446684578 and parameters: {'x': 2.5992281043426297, 'y': 2.960157496955233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,310] Trial 174 finished with value: 8.393777129433174 and parameters: {'x': 2.87864454294124, 'y': 1.239177096324707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,311] Trial 175 finished with value: 8.117760168554438 and parameters: {'x': 1.6390553207059786, 'y': 2.1544961862419205}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,312] Trial 176 finished with value: 7.780286127425217 and parameters: {'x': 1.9561316950363021, 'y': 2.2200267269991105}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,313] Trial 177 finished with value: 8.97783184216078 and parameters: {'x': 2.4029650756157688, 'y': 1.6597546371143177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,314] Trial 178 finished with value: 9.208872159188012 and parameters: {'x': 2.9549234687416903, 'y': 2.88628287561888}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,315] Trial 179 finished with value: 5.4049656445919965 and parameters: {'x': 1.011013356212266, 'y': 1.9578420384618553}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,316] Trial 180 finished with value: 9.12174191938108 and parameters: {'x': 2.3678749028786994, 'y': 2.17278483879681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,317] Trial 181 finished with value: 10.198826009408865 and parameters: {'x': 2.958641606176584, 'y': 2.5484903125582936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,318] Trial 182 finished with value: 7.6476415377950175 and parameters: {'x': 1.545998442266486, 'y': 1.9323981096163951}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,319] Trial 183 finished with value: 8.124489221721925 and parameters: {'x': 1.6758563638478126, 'y': 2.168679284141233}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,320] Trial 184 finished with value: 7.64968413734136 and parameters: {'x': 2.209815005464777, 'y': 1.2569555742100504}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,321] Trial 185 finished with value: 7.803305947129413 and parameters: {'x': 2.0466239336984975, 'y': 1.5762074968179676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,322] Trial 186 finished with value: 8.05474377153569 and parameters: {'x': 2.1632397775778105, 'y': 1.6998366051182627}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,323] Trial 187 finished with value: 6.144941991306926 and parameters: {'x': 1.7747923908250454, 'y': 1.0826847582822892}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,324] Trial 188 finished with value: 6.2127589120851745 and parameters: {'x': 2.066909130422448, 'y': 1.1382530755142026}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,325] Trial 189 finished with value: 6.561669600397277 and parameters: {'x': 1.115901581604201, 'y': 1.629822531869676}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,326] Trial 190 finished with value: 7.890219400244215 and parameters: {'x': 2.084328797212484, 'y': 1.5148949334884845}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,327] Trial 191 finished with value: 7.464114852010187 and parameters: {'x': 1.8892808907270018, 'y': 1.713626723491136}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,328] Trial 192 finished with value: 7.156552221150989 and parameters: {'x': 1.786094779669809, 'y': 1.960800211946864}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,329] Trial 193 finished with value: 8.951979216755136 and parameters: {'x': 1.7413234774569297, 'y': 2.8444003260863475}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,330] Trial 194 finished with value: 8.613621999490935 and parameters: {'x': 2.277526156650702, 'y': 1.5896308935518735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,331] Trial 195 finished with value: 6.996158886658911 and parameters: {'x': 1.27798756081083, 'y': 1.8105280925644867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,332] Trial 196 finished with value: 8.611348223142354 and parameters: {'x': 2.780063608043692, 'y': 1.2470883370791117}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,333] Trial 197 finished with value: 6.030637405462642 and parameters: {'x': 1.3669459553065468, 'y': 1.0967663914722383}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,334] Trial 198 finished with value: 8.9651624986928 and parameters: {'x': 2.45114124303605, 'y': 1.8177367495614867}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,335] Trial 199 finished with value: 8.915451335211346 and parameters: {'x': 2.335872085479096, 'y': 2.150144686924997}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,336] Trial 200 finished with value: 7.021661568826715 and parameters: {'x': 1.8602528352275918, 'y': 1.8654081939662959}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,337] Trial 201 finished with value: 9.769519658797082 and parameters: {'x': 2.7347930055246903, 'y': 2.281904221003719}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,338] Trial 202 finished with value: 4.469825231897417 and parameters: {'x': 1.1276709782028493, 'y': 1.076434141934986}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,339] Trial 203 finished with value: 10.239785901129567 and parameters: {'x': 2.5334930752056657, 'y': 2.8412627361168794}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,340] Trial 204 finished with value: 8.53553773386228 and parameters: {'x': 1.9038626907012923, 'y': 2.808230478175809}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,341] Trial 205 finished with value: 7.469472666097261 and parameters: {'x': 2.0627178614594097, 'y': 1.361793778177681}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 206 finished with value: 6.667264537099793 and parameters: {'x': 1.155198996514189, 'y': 1.6725570179291875}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,342] Trial 207 finished with value: 9.076853313820374 and parameters: {'x': 1.8583070910014763, 'y': 2.575429422230293}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,343] Trial 208 finished with value: 7.763861642014163 and parameters: {'x': 1.3957039185663036, 'y': 2.115221306953389}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,344] Trial 209 finished with value: 7.931876268965578 and parameters: {'x': 1.0377878625094168, 'y': 2.7386171658588525}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,345] Trial 210 finished with value: 9.291572445362457 and parameters: {'x': 1.5225522661296755, 'y': 2.72999996019061}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,346] Trial 211 finished with value: 7.90789463480928 and parameters: {'x': 2.1580208652985027, 'y': 1.7481916178348185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,347] Trial 212 finished with value: 8.331075538821214 and parameters: {'x': 1.3086571202225628, 'y': 2.322867543653529}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,348] Trial 213 finished with value: 7.134902741194471 and parameters: {'x': 1.311339134694525, 'y': 1.8159808263688133}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,349] Trial 214 finished with value: 8.508767907255717 and parameters: {'x': 1.5328694871482778, 'y': 2.253473258892857}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,350] Trial 215 finished with value: 10.160814928725088 and parameters: {'x': 2.4340858563813637, 'y': 2.5328342880614736}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,351] Trial 216 finished with value: 7.520519248925659 and parameters: {'x': 2.8358217538122545, 'y': 1.0073602356390727}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,352] Trial 217 finished with value: 8.734898042294475 and parameters: {'x': 2.3976126842507304, 'y': 1.9818004671370137}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,353] Trial 218 finished with value: 9.212983735328182 and parameters: {'x': 2.5707009425331124, 'y': 1.510914137767352}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,354] Trial 219 finished with value: 7.630386114164498 and parameters: {'x': 2.290055224334804, 'y': 1.1542707595107782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,355] Trial 220 finished with value: 9.223023627226235 and parameters: {'x': 1.4874256907368923, 'y': 2.8243687678809852}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,356] Trial 221 finished with value: 6.491452216777805 and parameters: {'x': 2.178628325873583, 'y': 1.0417939251882566}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,357] Trial 222 finished with value: 8.964465884983193 and parameters: {'x': 2.435201368490529, 'y': 1.4774745015263917}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,358] Trial 223 finished with value: 9.787167605334385 and parameters: {'x': 2.5102236610164814, 'y': 2.280925654939244}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,359] Trial 224 finished with value: 10.263157219003295 and parameters: {'x': 2.4943112514176353, 'y': 2.7744643239933993}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,360] Trial 225 finished with value: 8.10062600422781 and parameters: {'x': 1.4212237274775974, 'y': 2.1854087410493284}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,361] Trial 226 finished with value: 7.400051605325441 and parameters: {'x': 1.3919703351200805, 'y': 1.549329359587792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,362] Trial 227 finished with value: 10.142835796284338 and parameters: {'x': 2.4810205514098005, 'y': 2.947362586144786}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,363] Trial 228 finished with value: 7.315275574586037 and parameters: {'x': 1.9544917597569376, 'y': 1.746454737362182}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,364] Trial 229 finished with value: 8.02264358861355 and parameters: {'x': 2.024667187134299, 'y': 2.9507638023385447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,365] Trial 230 finished with value: 7.650780229269962 and parameters: {'x': 1.5589595248514958, 'y': 1.8963027349856008}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,366] Trial 231 finished with value: 8.75642052006269 and parameters: {'x': 1.2578489085880764, 'y': 2.573495333602545}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,367] Trial 232 finished with value: 7.720926630613398 and parameters: {'x': 1.6683961727920873, 'y': 2.0584749448370667}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,368] Trial 233 finished with value: 10.111196291118265 and parameters: {'x': 2.388544278181339, 'y': 2.5758930870083345}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,369] Trial 234 finished with value: 8.999141681351706 and parameters: {'x': 1.3880499083930444, 'y': 2.9198551748985655}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,370] Trial 235 finished with value: 6.947255849127545 and parameters: {'x': 1.3017815054591813, 'y': 1.4239006206842184}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,372] Trial 236 finished with value: 8.093163601417645 and parameters: {'x': 1.022966381407082, 'y': 2.511672249150409}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,373] Trial 237 finished with value: 9.244523525498478 and parameters: {'x': 2.1309296907352304, 'y': 2.687476427568785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,374] Trial 238 finished with value: 7.404512967642068 and parameters: {'x': 1.325042353063805, 'y': 2.0888798280457053}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,375] Trial 239 finished with value: 8.276865554192819 and parameters: {'x': 2.184880893629826, 'y': 2.178955012453271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,376] Trial 240 finished with value: 9.001965784325948 and parameters: {'x': 2.6346136475206117, 'y': 1.9949438321654618}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,377] Trial 241 finished with value: 6.951984210410229 and parameters: {'x': 2.0125264882488345, 'y': 1.2811406982064169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,378] Trial 242 finished with value: 9.059296508005236 and parameters: {'x': 1.3974245366863893, 'y': 2.5622304428793035}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,379] Trial 243 finished with value: 8.206034009843497 and parameters: {'x': 2.9364115200634586, 'y': 1.883919482780143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,380] Trial 244 finished with value: 9.921919105284765 and parameters: {'x': 2.8470228282279604, 'y': 2.3680211380618044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,381] Trial 245 finished with value: 5.862369248339185 and parameters: {'x': 1.1142529535002255, 'y': 2.0076454952194416}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,382] Trial 246 finished with value: 7.481016763418873 and parameters: {'x': 2.0251579459513422, 'y': 1.7229460313825542}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,383] Trial 247 finished with value: 9.084504448433803 and parameters: {'x': 2.5598314697394455, 'y': 1.84622302020528}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,384] Trial 248 finished with value: 9.730779841830977 and parameters: {'x': 2.705026542530438, 'y': 2.261172872438412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,385] Trial 249 finished with value: 6.970087709999072 and parameters: {'x': 2.2056625156106104, 'y': 1.1199626417334956}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,386] Trial 250 finished with value: 8.953933738523933 and parameters: {'x': 2.702914966726759, 'y': 1.860231761427788}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,387] Trial 251 finished with value: 9.748424617891873 and parameters: {'x': 2.4667731201567493, 'y': 2.2888764660961294}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,388] Trial 252 finished with value: 9.167673651450142 and parameters: {'x': 2.072195797772089, 'y': 2.610655666055697}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,389] Trial 253 finished with value: 7.147031598038101 and parameters: {'x': 1.291699180736912, 'y': 1.7390061583839724}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,390] Trial 254 finished with value: 6.116670622794018 and parameters: {'x': 2.1301272592646647, 'y': 1.0347697813695165}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,391] Trial 255 finished with value: 8.208828599746406 and parameters: {'x': 2.2867287156201046, 'y': 1.9679983737249274}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,392] Trial 256 finished with value: 6.548620766445598 and parameters: {'x': 1.2044888856944802, 'y': 1.4005015727656103}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,393] Trial 257 finished with value: 10.31713510610331 and parameters: {'x': 2.612563047786084, 'y': 2.7704625571335404}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,394] Trial 258 finished with value: 10.084552858039983 and parameters: {'x': 2.4972956483612614, 'y': 2.4135511676669017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,395] Trial 259 finished with value: 8.704815048381596 and parameters: {'x': 1.8348199894899018, 'y': 2.816913002698824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,396] Trial 260 finished with value: 9.909882350543576 and parameters: {'x': 2.782731419649844, 'y': 2.8262820425631365}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,397] Trial 261 finished with value: 5.976489893672717 and parameters: {'x': 1.7736308753893941, 'y': 1.020860693431882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,398] Trial 262 finished with value: 5.927980057999747 and parameters: {'x': 2.016682408877395, 'y': 1.121591782697312}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,399] Trial 263 finished with value: 8.858717705415632 and parameters: {'x': 1.5563968701377697, 'y': 2.3616592332265505}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,400] Trial 264 finished with value: 10.033313474090175 and parameters: {'x': 2.9006873116428213, 'y': 2.692515618646322}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,401] Trial 265 finished with value: 8.880528053164227 and parameters: {'x': 1.3391217993231546, 'y': 2.5119201657605466}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,404] Trial 266 finished with value: 6.512793795585026 and parameters: {'x': 1.0973914976258345, 'y': 1.598088367554651}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,405] Trial 267 finished with value: 10.133308161929415 and parameters: {'x': 2.4722329634215807, 'y': 2.9038913264736412}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,406] Trial 268 finished with value: 9.009577894524508 and parameters: {'x': 2.848278275800719, 'y': 1.71975219955167}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 269 finished with value: 9.073466277909414 and parameters: {'x': 1.8477499271033209, 'y': 2.544824490259407}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,407] Trial 270 finished with value: 8.857712616202502 and parameters: {'x': 2.7763762931812623, 'y': 2.0978016101308743}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,408] Trial 271 finished with value: 8.336836626348964 and parameters: {'x': 2.3795700310590426, 'y': 1.2465209738223508}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,409] Trial 272 finished with value: 5.916158701235933 and parameters: {'x': 1.362378593042143, 'y': 1.0660251203586257}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,410] Trial 273 finished with value: 9.146929015217898 and parameters: {'x': 1.8033754828833874, 'y': 2.6047616206447453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,411] Trial 274 finished with value: 7.438775490254871 and parameters: {'x': 1.7578386164256896, 'y': 1.8327485767740324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,412] Trial 275 finished with value: 7.535911323474094 and parameters: {'x': 1.6806223274483807, 'y': 1.9795460472091044}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,413] Trial 276 finished with value: 7.2692615352023005 and parameters: {'x': 1.3721922862035816, 'y': 1.4889755041007238}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,414] Trial 277 finished with value: 10.156213247691806 and parameters: {'x': 2.439013905615374, 'y': 2.798546701303678}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 278 finished with value: 7.594454224312965 and parameters: {'x': 1.7836186155171991, 'y': 1.7335789878704169}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,415] Trial 279 finished with value: 9.692863147985143 and parameters: {'x': 2.830534386150495, 'y': 2.8448425756608664}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,416] Trial 280 finished with value: 10.354735182718246 and parameters: {'x': 2.654619006311158, 'y': 2.535702751682674}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,417] Trial 281 finished with value: 9.59974810128511 and parameters: {'x': 2.2129591988883632, 'y': 2.6594307933091414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,418] Trial 282 finished with value: 9.171231249430022 and parameters: {'x': 2.4126063326685623, 'y': 2.1477052796850047}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,419] Trial 283 finished with value: 4.423097764063691 and parameters: {'x': 1.1136507650040754, 'y': 1.085185414659418}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,420] Trial 284 finished with value: 8.518116853818347 and parameters: {'x': 2.2714436670861144, 'y': 1.4799874049703434}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,421] Trial 285 finished with value: 6.308183889141347 and parameters: {'x': 1.1798253175175006, 'y': 1.358477133667177}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,422] Trial 286 finished with value: 5.721946692056417 and parameters: {'x': 1.0636206120922096, 'y': 1.8733061965353646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,423] Trial 287 finished with value: 7.677943634548251 and parameters: {'x': 1.121973471590385, 'y': 2.9035790410998183}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,424] Trial 288 finished with value: 9.151799227058577 and parameters: {'x': 2.6069182409954905, 'y': 1.7996328195485836}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 289 finished with value: 10.013127416178817 and parameters: {'x': 2.4167858431807874, 'y': 2.9164976263663602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,425] Trial 290 finished with value: 4.998303328378896 and parameters: {'x': 1.1542956742066215, 'y': 1.140781609596429}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,426] Trial 291 finished with value: 8.28114606706547 and parameters: {'x': 2.1879466071750313, 'y': 1.5581671187822235}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,427] Trial 292 finished with value: 8.832524046610402 and parameters: {'x': 2.300366007103639, 'y': 2.16793189577589}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,428] Trial 293 finished with value: 5.711376066059369 and parameters: {'x': 1.094322932423767, 'y': 1.9411323943054628}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,429] Trial 294 finished with value: 7.760929512264443 and parameters: {'x': 2.071568489594031, 'y': 1.4523217653510414}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,430] Trial 295 finished with value: 9.671827782479724 and parameters: {'x': 2.9922109078108097, 'y': 2.7826847496567426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,431] Trial 296 finished with value: 6.710962291458795 and parameters: {'x': 2.0479007588535945, 'y': 1.2261318608148313}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,432] Trial 297 finished with value: 9.202996753526495 and parameters: {'x': 2.8645562118427224, 'y': 1.6129257002416637}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,433] Trial 298 finished with value: 5.60593399078077 and parameters: {'x': 1.0573022885455976, 'y': 1.3062488386606321}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,434] Trial 299 finished with value: 6.58244865409225 and parameters: {'x': 1.3655659763270604, 'y': 1.2432668725475122}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,435] Trial 300 finished with value: 6.2066836519014394 and parameters: {'x': 1.331275367399907, 'y': 1.182084471528453}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 301 finished with value: 8.984835506742034 and parameters: {'x': 2.0438870786774963, 'y': 2.6836625341675298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,436] Trial 302 finished with value: 9.135668282526662 and parameters: {'x': 1.6844674053929338, 'y': 2.482716416022635}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,437] Trial 303 finished with value: 10.359646028416753 and parameters: {'x': 2.5754761557918533, 'y': 2.7198582320674056}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,438] Trial 304 finished with value: 7.361657153468046 and parameters: {'x': 1.3571872591947314, 'y': 1.75345728109374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,439] Trial 305 finished with value: 7.913504782012886 and parameters: {'x': 2.2567402470676416, 'y': 1.2652867032397062}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,440] Trial 306 finished with value: 9.347623407815192 and parameters: {'x': 2.1932762319899344, 'y': 2.7575887786576088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,441] Trial 307 finished with value: 6.238482058571574 and parameters: {'x': 1.398568508516686, 'y': 1.1219645882466098}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,442] Trial 308 finished with value: 9.255211632335527 and parameters: {'x': 2.1065275363082856, 'y': 2.623147599225602}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,443] Trial 309 finished with value: 7.9259135284926625 and parameters: {'x': 2.401557205780505, 'y': 1.0884686415000555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,444] Trial 310 finished with value: 9.912652969472223 and parameters: {'x': 2.4927665585904117, 'y': 2.3362285111941388}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,445] Trial 311 finished with value: 7.9160816136541055 and parameters: {'x': 2.086039549812548, 'y': 1.5718753826147212}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 312 finished with value: 8.846211582353332 and parameters: {'x': 2.7946975959997085, 'y': 2.1111493443901646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,446] Trial 313 finished with value: 8.447724376654612 and parameters: {'x': 1.231940729779242, 'y': 2.4329241473881456}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,447] Trial 314 finished with value: 7.552500541854169 and parameters: {'x': 1.7919999988976703, 'y': 1.7463777927679258}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,448] Trial 315 finished with value: 9.218512393996935 and parameters: {'x': 1.5175664405513307, 'y': 2.924995588232765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,449] Trial 316 finished with value: 6.857585341545889 and parameters: {'x': 2.0710526351204024, 'y': 1.9257182649214797}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,450] Trial 317 finished with value: 6.2545662723315765 and parameters: {'x': 1.0302565320977815, 'y': 2.150580729287884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,451] Trial 318 finished with value: 7.983987219108325 and parameters: {'x': 2.4111627134494213, 'y': 1.0980217544085398}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,452] Trial 319 finished with value: 8.357108631911709 and parameters: {'x': 1.2100873805705843, 'y': 2.820830469555223}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,453] Trial 320 finished with value: 6.699130383291198 and parameters: {'x': 1.215682949072571, 'y': 2.0632357475823735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,454] Trial 321 finished with value: 8.948976386936518 and parameters: {'x': 1.331367634034851, 'y': 2.581299783112364}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 322 finished with value: 7.982138721518298 and parameters: {'x': 1.988398470351165, 'y': 2.945407386064451}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,455] Trial 323 finished with value: 9.745623933776441 and parameters: {'x': 2.30428299904322, 'y': 2.805664681125419}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,456] Trial 324 finished with value: 7.613461888965885 and parameters: {'x': 1.0069534961965363, 'y': 2.8127180219484327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,457] Trial 325 finished with value: 7.652181636405894 and parameters: {'x': 1.8566641006360123, 'y': 1.5309023468189245}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,458] Trial 326 finished with value: 9.162199390098213 and parameters: {'x': 2.9688223241275935, 'y': 2.8965908439695895}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,459] Trial 327 finished with value: 8.603561199051127 and parameters: {'x': 2.101710342423472, 'y': 2.8472037870659075}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,460] Trial 328 finished with value: 9.238104079329661 and parameters: {'x': 1.4645047073963369, 'y': 2.7201884102366276}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,461] Trial 329 finished with value: 9.2059890001439 and parameters: {'x': 1.5029492524669203, 'y': 2.570755821365006}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,462] Trial 330 finished with value: 8.662235215716079 and parameters: {'x': 1.9668160413505607, 'y': 2.7570260466308625}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,463] Trial 331 finished with value: 4.387601305751666 and parameters: {'x': 1.1063704438455368, 'y': 1.0869451970964539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,464] Trial 332 finished with value: 8.743504814708885 and parameters: {'x': 2.42920152555666, 'y': 1.3500254719172264}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,465] Trial 333 finished with value: 7.474602128171121 and parameters: {'x': 1.152829659231377, 'y': 2.263024436911833}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,466] Trial 334 finished with value: 7.7139152591869955 and parameters: {'x': 2.083902436337981, 'y': 1.7042422360941185}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 335 finished with value: 9.064165098697746 and parameters: {'x': 2.196396028837885, 'y': 2.868474069611013}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,467] Trial 336 finished with value: 7.526207724974352 and parameters: {'x': 1.748765975307913, 'y': 1.4175092102644002}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,468] Trial 337 finished with value: 8.87318611022771 and parameters: {'x': 1.4301086067741993, 'y': 2.4221290283239707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,469] Trial 338 finished with value: 7.437628554622544 and parameters: {'x': 1.5370848528034777, 'y': 1.4164035735238645}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,470] Trial 339 finished with value: 9.108528828823486 and parameters: {'x': 2.8221419136641974, 'y': 1.4137540686047536}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,471] Trial 340 finished with value: 10.224469832486484 and parameters: {'x': 2.7627939976725715, 'y': 2.712650585544082}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,472] Trial 341 finished with value: 9.157248639712966 and parameters: {'x': 1.621381698958753, 'y': 2.490024536343387}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,473] Trial 342 finished with value: 9.067096629559234 and parameters: {'x': 2.965909978088968, 'y': 2.9290256135131707}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,474] Trial 343 finished with value: 8.20828834637247 and parameters: {'x': 2.551873644603601, 'y': 1.0660867667675091}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,475] Trial 344 finished with value: 7.619650128094548 and parameters: {'x': 2.0644661743154415, 'y': 1.4042470172553296}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 345 finished with value: 8.763579496092841 and parameters: {'x': 1.6545509357446349, 'y': 2.3265521680886843}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,476] Trial 346 finished with value: 10.329168526789621 and parameters: {'x': 2.644777207725301, 'y': 2.5097392192993073}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,477] Trial 347 finished with value: 6.209810066889293 and parameters: {'x': 1.794374892990855, 'y': 1.1141125151488116}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,478] Trial 348 finished with value: 7.984742852035451 and parameters: {'x': 1.092178496970699, 'y': 2.41579734736726}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,479] Trial 349 finished with value: 8.870990662413382 and parameters: {'x': 1.3414984313948313, 'y': 2.982007944245219}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,480] Trial 350 finished with value: 8.966183159301048 and parameters: {'x': 2.4075892104439074, 'y': 1.7079217481458522}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,481] Trial 351 finished with value: 7.656693888229608 and parameters: {'x': 1.8518279470371772, 'y': 1.6238590298596043}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,482] Trial 352 finished with value: 9.062458866554683 and parameters: {'x': 2.6177201797519714, 'y': 1.8642498769805247}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,483] Trial 353 finished with value: 9.018050055020714 and parameters: {'x': 2.4187002604843553, 'y': 1.6138392905141121}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,484] Trial 354 finished with value: 8.991109902167452 and parameters: {'x': 1.3703645448408575, 'y': 2.834356324376323}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,485] Trial 355 finished with value: 8.38152104519662 and parameters: {'x': 1.1555343303547916, 'y': 2.7006567266890333}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 356 finished with value: 6.212801250088436 and parameters: {'x': 1.1805670600758351, 'y': 1.3342035077899745}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,486] Trial 357 finished with value: 7.941553127535705 and parameters: {'x': 2.7592288821782676, 'y': 1.0706680098479076}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,487] Trial 358 finished with value: 7.224303585235438 and parameters: {'x': 1.3045011153751436, 'y': 1.6118863229503622}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,488] Trial 359 finished with value: 8.44450330401257 and parameters: {'x': 2.2335451159558417, 'y': 1.628179759156297}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,489] Trial 360 finished with value: 7.044886595511825 and parameters: {'x': 1.9972271639585526, 'y': 1.3032450288065827}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,490] Trial 361 finished with value: 8.270774653868527 and parameters: {'x': 2.8974389690073172, 'y': 1.888026611242919}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,491] Trial 362 finished with value: 8.91666182979364 and parameters: {'x': 2.4368892491097727, 'y': 1.4377983452111882}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,492] Trial 363 finished with value: 10.088239690096223 and parameters: {'x': 2.865870145047425, 'y': 2.4358911847461413}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,493] Trial 364 finished with value: 8.78965221877254 and parameters: {'x': 2.3358581438953543, 'y': 1.6618000006359324}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 365 finished with value: 10.125686298125409 and parameters: {'x': 2.445415598969073, 'y': 2.84484078419461}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,494] Trial 366 finished with value: 7.343383611464031 and parameters: {'x': 1.7769158794075075, 'y': 2.0507637598350668}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,495] Trial 367 finished with value: 7.997988774164467 and parameters: {'x': 2.2356426584991205, 'y': 2.0451278303879987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,496] Trial 368 finished with value: 8.205247029616046 and parameters: {'x': 2.187146945707058, 'y': 1.4742898645858042}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,497] Trial 369 finished with value: 9.00406642736227 and parameters: {'x': 1.9929649460017025, 'y': 2.5078903999195608}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,498] Trial 370 finished with value: 5.226188688989737 and parameters: {'x': 1.0087444470767506, 'y': 1.2633840962145775}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,499] Trial 371 finished with value: 8.71485187368858 and parameters: {'x': 1.3079096308120766, 'y': 2.9738261872510607}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,500] Trial 372 finished with value: 9.216845434625913 and parameters: {'x': 1.508575392047343, 'y': 2.8773204260382386}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,501] Trial 373 finished with value: 9.17989793263459 and parameters: {'x': 2.8841994959270485, 'y': 1.621651975448489}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 374 finished with value: 8.98557586111079 and parameters: {'x': 2.500830384642061, 'y': 1.8944341497362096}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,502] Trial 375 finished with value: 9.303369240522263 and parameters: {'x': 1.5391501775074237, 'y': 2.711571907670349}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,503] Trial 376 finished with value: 8.750471615681288 and parameters: {'x': 1.4913406700000764, 'y': 2.341732508736907}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,504] Trial 377 finished with value: 7.227982143201142 and parameters: {'x': 1.3268853102432239, 'y': 1.7885289413291054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,505] Trial 378 finished with value: 10.023162229027282 and parameters: {'x': 2.396048090406278, 'y': 2.8314615713289455}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,506] Trial 379 finished with value: 6.092896856433121 and parameters: {'x': 1.7911165415621344, 'y': 1.08382619235308}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,507] Trial 380 finished with value: 6.120317782062621 and parameters: {'x': 1.4032309691122884, 'y': 1.079894591239306}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,508] Trial 381 finished with value: 7.022502908484473 and parameters: {'x': 1.8824910993699955, 'y': 1.3033402032471397}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,509] Trial 382 finished with value: 7.652674431707082 and parameters: {'x': 1.8497308313116698, 'y': 1.6310518292420932}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 383 finished with value: 5.822719727358805 and parameters: {'x': 1.3215559497308957, 'y': 1.0981061820951246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,510] Trial 384 finished with value: 7.373644800992425 and parameters: {'x': 1.3940794368916745, 'y': 1.9120470222848358}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 385 finished with value: 5.481155598344511 and parameters: {'x': 1.9414607876752354, 'y': 1.0393575200952851}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,512] Trial 386 finished with value: 10.096454316474768 and parameters: {'x': 2.4543933766663644, 'y': 2.928712322892695}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,513] Trial 387 finished with value: 6.370030836329917 and parameters: {'x': 1.3548891051987708, 'y': 1.1986347193634166}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,514] Trial 388 finished with value: 8.509039975333158 and parameters: {'x': 2.322081543679178, 'y': 1.8428832782616735}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,515] Trial 389 finished with value: 7.267810238351741 and parameters: {'x': 1.6160281384053163, 'y': 1.3184453833011878}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,516] Trial 390 finished with value: 5.601143816756288 and parameters: {'x': 1.0084796381477859, 'y': 1.8664753046910936}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,517] Trial 391 finished with value: 9.279754455615958 and parameters: {'x': 2.873043369326268, 'y': 2.9390091395584017}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,518] Trial 392 finished with value: 7.491358104879318 and parameters: {'x': 2.1375796868486256, 'y': 1.8391439039291715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,519] Trial 393 finished with value: 7.469105104664758 and parameters: {'x': 1.7923971939999055, 'y': 2.0989587544380424}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,520] Trial 394 finished with value: 8.956798399528843 and parameters: {'x': 1.711999584921766, 'y': 2.9091711768326656}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,521] Trial 395 finished with value: 9.174547757972167 and parameters: {'x': 2.840890581133052, 'y': 1.4561757164149107}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 396 finished with value: 7.851700424065141 and parameters: {'x': 1.7113279109352795, 'y': 2.123481419395448}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,522] Trial 397 finished with value: 7.750692605356102 and parameters: {'x': 1.6902889832813934, 'y': 1.5623461183014966}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,523] Trial 398 finished with value: 8.755451855147848 and parameters: {'x': 2.911761337310541, 'y': 1.3197890733099533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,524] Trial 399 finished with value: 10.268295211866295 and parameters: {'x': 2.476466615710587, 'y': 2.7332328340294563}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,525] Trial 400 finished with value: 6.417574443703831 and parameters: {'x': 2.177474958724643, 'y': 1.005653626481327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,526] Trial 401 finished with value: 7.668896523263015 and parameters: {'x': 1.644378784575017, 'y': 1.4968063585350646}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 402 finished with value: 8.19298658310015 and parameters: {'x': 2.431289201640437, 'y': 1.149653767432715}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,528] Trial 403 finished with value: 8.97130164568623 and parameters: {'x': 2.0238418672969654, 'y': 2.464378965120093}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,529] Trial 404 finished with value: 9.9498222644883 and parameters: {'x': 2.888144037415016, 'y': 2.3893540652536975}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,530] Trial 405 finished with value: 8.946878681936214 and parameters: {'x': 2.4819106838477336, 'y': 1.9690251042928717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,531] Trial 406 finished with value: 9.2775145368802 and parameters: {'x': 1.6086848468720156, 'y': 2.7757886297325713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,532] Trial 407 finished with value: 6.0398599077263455 and parameters: {'x': 1.0094173253653007, 'y': 2.126016301637884}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,533] Trial 408 finished with value: 7.172267725737418 and parameters: {'x': 1.8647089587091887, 'y': 2.0967083242682962}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,534] Trial 409 finished with value: 10.06942366313142 and parameters: {'x': 2.368979331565893, 'y': 2.7081400803511215}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,535] Trial 410 finished with value: 6.13664299399473 and parameters: {'x': 1.0540333265179518, 'y': 1.4282302453602083}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,536] Trial 411 finished with value: 7.308753587807553 and parameters: {'x': 1.330671073227345, 'y': 1.6984403303355533}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,537] Trial 412 finished with value: 6.767207011793218 and parameters: {'x': 1.206523047230095, 'y': 1.7496095327225718}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,538] Trial 413 finished with value: 8.92360731321179 and parameters: {'x': 1.3945161668885826, 'y': 2.4748484732751246}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,539] Trial 414 finished with value: 6.680035661311976 and parameters: {'x': 1.9976931371083386, 'y': 2.0379928984768765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,540] Trial 415 finished with value: 7.414252441736993 and parameters: {'x': 1.534572725393671, 'y': 1.4067465865126285}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,541] Trial 416 finished with value: 8.9996012583928 and parameters: {'x': 2.585170495454305, 'y': 1.3532149268593918}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,542] Trial 417 finished with value: 9.90548167086543 and parameters: {'x': 2.3399565787146277, 'y': 2.787020230782926}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,543] Trial 418 finished with value: 7.691607288024512 and parameters: {'x': 1.1359010765855024, 'y': 2.9686284408298524}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,544] Trial 419 finished with value: 9.796735720491617 and parameters: {'x': 2.820579493870747, 'y': 2.823207076944582}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,545] Trial 420 finished with value: 6.260789565502911 and parameters: {'x': 1.81156678146324, 'y': 1.1360440007461408}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,546] Trial 421 finished with value: 9.21860388769146 and parameters: {'x': 2.4250417759272396, 'y': 2.151886634469717}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,547] Trial 422 finished with value: 9.088805627236487 and parameters: {'x': 2.4946484937597644, 'y': 1.489491780477701}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 423 finished with value: 6.226677245473308 and parameters: {'x': 1.1477089283401192, 'y': 2.056377420203176}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,548] Trial 424 finished with value: 8.483973107680615 and parameters: {'x': 2.3302930707241654, 'y': 1.8862617093564347}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,549] Trial 425 finished with value: 10.189866481093429 and parameters: {'x': 2.8205578954962713, 'y': 2.6743642252871402}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,550] Trial 426 finished with value: 4.266283468162449 and parameters: {'x': 1.128574522835871, 'y': 1.0186489038456865}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,551] Trial 427 finished with value: 8.788669762186533 and parameters: {'x': 1.3313453765359875, 'y': 2.4692989209762657}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,552] Trial 428 finished with value: 9.897316989347988 and parameters: {'x': 2.379633485342911, 'y': 2.9387309613275088}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,553] Trial 429 finished with value: 7.733897179743261 and parameters: {'x': 2.3548144243288824, 'y': 1.0883146783356357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,554] Trial 430 finished with value: 9.770730743480064 and parameters: {'x': 2.34392440316154, 'y': 2.9737399239212152}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,555] Trial 431 finished with value: 6.651404870689522 and parameters: {'x': 1.2401114796732557, 'y': 1.9103876401791673}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,556] Trial 432 finished with value: 8.624387367423939 and parameters: {'x': 2.343842819069655, 'y': 1.402892703320057}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,557] Trial 433 finished with value: 7.319391065120538 and parameters: {'x': 1.3369742062000984, 'y': 1.7193648999124012}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 434 finished with value: 8.63207059410576 and parameters: {'x': 1.568076793133939, 'y': 2.284355408978114}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,558] Trial 435 finished with value: 6.170131843245223 and parameters: {'x': 1.0418953375485036, 'y': 2.135054245104543}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,559] Trial 436 finished with value: 10.369997992085416 and parameters: {'x': 2.61908092246873, 'y': 2.7087079857491236}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,560] Trial 437 finished with value: 8.214286391310745 and parameters: {'x': 2.1802285557954493, 'y': 1.6466895137837072}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,561] Trial 438 finished with value: 6.5325083151338745 and parameters: {'x': 1.301511960988448, 'y': 1.2904075186733923}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,562] Trial 439 finished with value: 7.81961102131716 and parameters: {'x': 1.951071480713511, 'y': 2.225511766887371}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,563] Trial 440 finished with value: 8.789791847209642 and parameters: {'x': 1.752568510864902, 'y': 2.9694528025425426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,564] Trial 441 finished with value: 8.845951391776083 and parameters: {'x': 2.9348530597453095, 'y': 1.7386220876900822}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,565] Trial 442 finished with value: 6.8313562893640825 and parameters: {'x': 1.1584195744800634, 'y': 2.1553107291156395}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,566] Trial 443 finished with value: 8.282440802944908 and parameters: {'x': 2.084635187581866, 'y': 2.9245462877708213}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 444 finished with value: 8.144098982016738 and parameters: {'x': 2.170455647030789, 'y': 1.6684600849133298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,567] Trial 445 finished with value: 9.296643075908719 and parameters: {'x': 2.615662796561897, 'y': 1.6100294259063987}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,568] Trial 446 finished with value: 9.19390522333622 and parameters: {'x': 2.710246886375865, 'y': 2.130858864690644}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,569] Trial 447 finished with value: 7.531965885725688 and parameters: {'x': 1.9211051500257048, 'y': 1.6758861594909447}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,570] Trial 448 finished with value: 7.331382168303733 and parameters: {'x': 1.67953723621456, 'y': 1.3365870657098382}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,571] Trial 449 finished with value: 9.116973692268562 and parameters: {'x': 1.820991457831393, 'y': 2.567164362724064}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,572] Trial 450 finished with value: 7.53338235239057 and parameters: {'x': 1.9203094803694931, 'y': 2.1793049604401054}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,573] Trial 451 finished with value: 9.224526595418926 and parameters: {'x': 2.9455951435052024, 'y': 1.5139853696768606}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,574] Trial 452 finished with value: 9.223170573081077 and parameters: {'x': 2.8334166644240124, 'y': 2.20836504015143}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 453 finished with value: 6.999654263756282 and parameters: {'x': 2.1589629880195247, 'y': 1.1846411930598055}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,575] Trial 454 finished with value: 9.474341672965183 and parameters: {'x': 2.3580782494123866, 'y': 2.279417077265129}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,576] Trial 455 finished with value: 9.253298623237097 and parameters: {'x': 2.253015026281642, 'y': 2.3185464367108874}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,577] Trial 456 finished with value: 8.602639781988247 and parameters: {'x': 2.275602548119463, 'y': 1.624827040663725}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,578] Trial 457 finished with value: 7.068551848614295 and parameters: {'x': 1.2603772254821308, 'y': 1.5837727142113327}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,579] Trial 458 finished with value: 7.263162553099972 and parameters: {'x': 1.5488473138379997, 'y': 1.3364308979656776}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,580] Trial 459 finished with value: 5.765175900097962 and parameters: {'x': 1.1229934553422611, 'y': 1.2923904534654271}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,581] Trial 460 finished with value: 8.572357997524358 and parameters: {'x': 1.257217475209221, 'y': 2.8270229736591785}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,582] Trial 461 finished with value: 7.415567768970856 and parameters: {'x': 1.7180858011424407, 'y': 1.934051058822824}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 462 finished with value: 9.803728923767403 and parameters: {'x': 2.5377612159072194, 'y': 2.2768073417972357}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,583] Trial 463 finished with value: 9.955064351324634 and parameters: {'x': 2.3275460896894495, 'y': 2.5531141437345415}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,584] Trial 464 finished with value: 5.517910246875086 and parameters: {'x': 1.2201709091358888, 'y': 1.1594546254794982}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,585] Trial 465 finished with value: 8.061151142105938 and parameters: {'x': 2.024787757538992, 'y': 2.9274920965050972}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,586] Trial 466 finished with value: 9.397189288983204 and parameters: {'x': 2.1515716756798198, 'y': 2.5306991635013265}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,587] Trial 467 finished with value: 5.985517249850933 and parameters: {'x': 1.3849905711991588, 'y': 1.055927677523281}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,588] Trial 468 finished with value: 9.097225643154763 and parameters: {'x': 1.4351199031730522, 'y': 2.5454135155465614}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 469 finished with value: 7.349261704988377 and parameters: {'x': 1.35346191711857, 'y': 1.7546081296735883}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,589] Trial 470 finished with value: 9.272408270563856 and parameters: {'x': 2.875235831831837, 'y': 2.938171401114677}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,590] Trial 471 finished with value: 8.069162624819043 and parameters: {'x': 2.9184584255922643, 'y': 1.94201393085539}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,591] Trial 472 finished with value: 8.81761865638411 and parameters: {'x': 2.4089709739522425, 'y': 1.8531264383292128}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,592] Trial 473 finished with value: 8.035542180154685 and parameters: {'x': 1.3427513767860373, 'y': 2.222036587264789}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,593] Trial 474 finished with value: 9.231385190851347 and parameters: {'x': 1.6136788146729355, 'y': 2.5427165815495023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,594] Trial 475 finished with value: 8.079791775891733 and parameters: {'x': 1.9125417091420505, 'y': 2.974755165461713}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,595] Trial 476 finished with value: 8.341523743372877 and parameters: {'x': 2.5162039041844384, 'y': 1.1370628964009615}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,596] Trial 477 finished with value: 8.111643884158484 and parameters: {'x': 2.4774050077230263, 'y': 1.0731466336537492}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 478 finished with value: 7.5399208344987585 and parameters: {'x': 2.8345234456844723, 'y': 1.0193880363125856}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,597] Trial 479 finished with value: 4.433360827827819 and parameters: {'x': 1.0737285407959989, 'y': 1.1240856472950298}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,598] Trial 480 finished with value: 6.96592599656371 and parameters: {'x': 1.917376657427001, 'y': 1.2967197922321945}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,599] Trial 481 finished with value: 6.482139651511581 and parameters: {'x': 1.0444818819023245, 'y': 2.176468521442921}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,600] Trial 482 finished with value: 9.11485254373537 and parameters: {'x': 2.048580208536864, 'y': 2.6071264572872}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,601] Trial 483 finished with value: 5.431608150828463 and parameters: {'x': 1.1894684017034052, 'y': 1.1771668066738374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,602] Trial 484 finished with value: 9.916633525227567 and parameters: {'x': 2.3771078699084693, 'y': 2.9920290455237555}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 485 finished with value: 8.672783876245514 and parameters: {'x': 2.986832268951524, 'y': 1.2963533246316374}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,603] Trial 486 finished with value: 8.304980857866417 and parameters: {'x': 1.8838423536074562, 'y': 2.293381683328426}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,604] Trial 487 finished with value: 8.312468549380213 and parameters: {'x': 2.605279862637339, 'y': 1.104352806033127}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,605] Trial 488 finished with value: 5.853085423960124 and parameters: {'x': 1.8449842618430872, 'y': 1.072398768972538}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,606] Trial 489 finished with value: 10.386651371749663 and parameters: {'x': 2.6310189414260505, 'y': 2.6738996139987643}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,607] Trial 490 finished with value: 8.745469373890751 and parameters: {'x': 2.8645250632754204, 'y': 1.308649034603559}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,608] Trial 491 finished with value: 9.203342174566815 and parameters: {'x': 2.2366663140241325, 'y': 2.3220086289326023}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,609] Trial 492 finished with value: 7.620833240361959 and parameters: {'x': 1.7828303566350192, 'y': 1.4731366108109194}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 493 finished with value: 6.443411611560421 and parameters: {'x': 1.087773688862931, 'y': 1.5288574048348782}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,610] Trial 494 finished with value: 9.289432601334944 and parameters: {'x': 1.6649581758396033, 'y': 2.6842053451927765}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,611] Trial 495 finished with value: 5.398308960090418 and parameters: {'x': 1.0066322310308962, 'y': 1.9593038112676802}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,612] Trial 496 finished with value: 7.862686650656634 and parameters: {'x': 2.8254045010036575, 'y': 1.112352158376197}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,613] Trial 497 finished with value: 7.9200738443641665 and parameters: {'x': 2.408098570015621, 'y': 1.0761987677246792}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,614] Trial 498 finished with value: 6.712922715771459 and parameters: {'x': 1.2761302578999503, 'y': 1.3688914376676131}. Best is trial 100 with value: 4.045505869420193.\n[I 2023-11-01 05:28:29,615] Trial 499 finished with value: 10.186262582979126 and parameters: {'x': 2.4800498669245994, 'y': 2.842080919283535}. Best is trial 100 with value: 4.045505869420193.\n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_edf\n[I 2023-11-01 05:28:29,692] A new study created in memory with name: no-name-1de1a4a9-f153-4078-ba61-d36ded30bfc3\n[I 2023-11-01 05:28:29,693] Trial 0 finished with values: [55.34889652925464, 11.46199537588904] and parameters: {'x': 2.372386524452785, 'y': 2.865136351189677}. \n[I 2023-11-01 05:28:29,694] Trial 1 finished with values: [56.70800164294365, 13.602198909363336] and parameters: {'x': 3.361790996747407, 'y': 1.695689153389851}. \n[I 2023-11-01 05:28:29,695] Trial 2 finished with values: [9.017953648800534, 33.25280973302535] and parameters: {'x': 1.4239876420404052, 'y': 0.4761802258770731}. \n[I 2023-11-01 05:28:29,696] Trial 3 finished with values: [69.88165706474729, 8.36307616609464] and parameters: {'x': 2.9235299783801882, 'y': 2.9872038316290297}. \n[I 2023-11-01 05:28:29,697] Trial 4 finished with values: [57.36604995578257, 17.26365736975023] and parameters: {'x': 3.630585803607848, 'y': 1.077199708311693}. \n[I 2023-11-01 05:28:29,698] Trial 5 finished with values: [96.25590572454861, 23.59770461295712] and parameters: {'x': 4.903413743739234, 'y': 0.14321343807876863}. \n[I 2023-11-01 05:28:29,698] Trial 6 finished with values: [9.785821942901176, 30.947779128964918] and parameters: {'x': 1.3352125725046804, 'y': 0.814655063171357}. \n[I 2023-11-01 05:28:29,699] Trial 7 finished with values: [39.058127066973114, 16.456114803165818] and parameters: {'x': 2.604987036191474, 'y': 1.7258546601662719}. \n[I 2023-11-01 05:28:29,700] Trial 8 finished with values: [13.750549530938738, 27.291568606604358] and parameters: {'x': 1.4061791701666393, 'y': 1.2084277074463934}. \n[I 2023-11-01 05:28:29,701] Trial 9 finished with values: [27.743918037418805, 23.273422487990178] and parameters: {'x': 0.8862148121262065, 'y': 2.480040890010246}. \n[I 2023-11-01 05:28:29,702] Trial 10 finished with values: [29.17140542907213, 21.078346180832526] and parameters: {'x': 1.2043427758138718, 'y': 2.417107741829679}. \n[I 2023-11-01 05:28:29,703] Trial 11 finished with values: [0.47465863080311865, 46.313644281377165] and parameters: {'x': 0.03814290368160056, 'y': 0.342359133950762}. \n[I 2023-11-01 05:28:29,704] Trial 12 finished with values: [0.6140574712922668, 44.65579632129314] and parameters: {'x': 0.24031822069059294, 'y': 0.3094535839624001}. \n[I 2023-11-01 05:28:29,705] Trial 13 finished with values: [4.655250749087843, 37.76694788412376] and parameters: {'x': 0.30485505233292354, 'y': 1.0348314279818966}. \n[I 2023-11-01 05:28:29,705] Trial 14 finished with values: [43.20865184786535, 14.33311990858794] and parameters: {'x': 2.2719587041406735, 'y': 2.374945601197166}. \n[I 2023-11-01 05:28:29,707] Trial 15 finished with values: [3.6617989754865596, 40.9900838616555] and parameters: {'x': 0.956097232082494, 'y': 0.036439356139119305}. \n[I 2023-11-01 05:28:29,708] Trial 16 finished with values: [9.287470402816233, 32.32918153853204] and parameters: {'x': 1.4017102417080285, 'y': 0.5975583645091734}. \n[I 2023-11-01 05:28:29,708] Trial 17 finished with values: [23.45554722351253, 30.782467476216315] and parameters: {'x': 2.4199394899295523, 'y': 0.08820244303662927}. \n[I 2023-11-01 05:28:29,709] Trial 18 finished with values: [101.31022861154267, 19.287202345079315] and parameters: {'x': 4.9957531754373, 'y': 0.608282305343335}. \n[I 2023-11-01 05:28:29,710] Trial 19 finished with values: [34.97553016893434, 19.414896735950965] and parameters: {'x': 2.677095798600665, 'y': 1.255802782027597}. \n[I 2023-11-01 05:28:29,711] Trial 20 finished with values: [9.04397651892457, 32.35839934996165] and parameters: {'x': 1.3695811609997972, 'y': 0.620678316977152}. \n[I 2023-11-01 05:28:29,712] Trial 21 finished with values: [81.37403947657059, 18.3490338675357] and parameters: {'x': 4.447206167483923, 'y': 0.7522414326767712}. \n[I 2023-11-01 05:28:29,713] Trial 22 finished with values: [91.056023364684, 16.74074715972646] and parameters: {'x': 4.681452575953331, 'y': 0.9208732921911224}. \n[I 2023-11-01 05:28:29,714] Trial 23 finished with values: [30.376283032164203, 20.714057080236728] and parameters: {'x': 2.473839438519479, 'y': 1.2141619292609533}. \n[I 2023-11-01 05:28:29,715] Trial 24 finished with values: [45.21974770874812, 14.864323807061858] and parameters: {'x': 2.832561846200021, 'y': 1.8114994658124965}. \n[I 2023-11-01 05:28:29,716] Trial 25 finished with values: [24.224236992556637, 24.74157027032271] and parameters: {'x': 2.3250245043465756, 'y': 0.8064243934350693}. \n[I 2023-11-01 05:28:29,717] Trial 26 finished with values: [22.297687619360858, 22.507757450929716] and parameters: {'x': 1.885066274182225, 'y': 1.4216001712088244}. \n[I 2023-11-01 05:28:29,718] Trial 27 finished with values: [57.84089302882202, 10.760973986416854] and parameters: {'x': 2.830180224116485, 'y': 2.5397447029623805}. \n[I 2023-11-01 05:28:29,718] Trial 28 finished with values: [99.60153276997424, 6.186015156906896] and parameters: {'x': 4.239478726703153, 'y': 2.6319580768555135}. \n[I 2023-11-01 05:28:29,719] Trial 29 finished with values: [69.74390680563688, 18.180448059530296] and parameters: {'x': 4.09149390183117, 'y': 0.8340589623567225}. \n[I 2023-11-01 05:28:29,720] Trial 30 finished with values: [2.7743641212249583, 41.715767907305285] and parameters: {'x': 0.06771895742171297, 'y': 0.8300633548783827}. \n[I 2023-11-01 05:28:29,721] Trial 31 finished with values: [41.4064842799614, 19.45059801161605] and parameters: {'x': 3.0418341367928425, 'y': 1.048268169044587}. \n[I 2023-11-01 05:28:29,722] Trial 32 finished with values: [33.62708395957701, 17.453044289978052] and parameters: {'x': 1.9458719528165043, 'y': 2.1495007171751155}. \n[I 2023-11-01 05:28:29,723] Trial 33 finished with values: [31.208551046492623, 23.243384866066854] and parameters: {'x': 2.6846509647286116, 'y': 0.7712243248270183}. \n[I 2023-11-01 05:28:29,724] Trial 34 finished with values: [27.542039912818872, 23.601807377283645] and parameters: {'x': 0.8436713629245274, 'y': 2.48469889716758}. \n[I 2023-11-01 05:28:29,725] Trial 35 finished with values: [47.174022598141676, 13.228127849180865] and parameters: {'x': 2.4120509203611333, 'y': 2.444486859674322}. \n[I 2023-11-01 05:28:29,726] Trial 36 finished with values: [30.515694454923665, 26.842036334726387] and parameters: {'x': 0.3373124442242442, 'y': 2.741376283676209}. \n[I 2023-11-01 05:28:29,727] Trial 37 finished with values: [110.76556017988068, 4.587379324176673] and parameters: {'x': 4.351766443775876, 'y': 2.9586346283034732}. \n[I 2023-11-01 05:28:29,728] Trial 38 finished with values: [1.9912942370369815, 42.20295973854899] and parameters: {'x': 0.6920514403165301, 'y': 0.13743494175449533}. \n[I 2023-11-01 05:28:29,728] Trial 39 finished with values: [73.68418652941345, 8.02169370632535] and parameters: {'x': 3.3204983959252274, 'y': 2.719436896677574}. \n[I 2023-11-01 05:28:29,729] Trial 40 finished with values: [72.39144130078495, 21.276426764318956] and parameters: {'x': 4.230069708974284, 'y': 0.4520736471134442}. \n[I 2023-11-01 05:28:29,730] Trial 41 finished with values: [55.48690900028407, 21.674562642838733] and parameters: {'x': 3.6860440927556617, 'y': 0.5336723679675663}. \n[I 2023-11-01 05:28:29,731] Trial 42 finished with values: [45.835879810223915, 14.52869506155687] and parameters: {'x': 1.873905849021182, 'y': 2.8191216400787287}. \n[I 2023-11-01 05:28:29,732] Trial 43 finished with values: [28.512300393367372, 28.115783849952443] and parameters: {'x': 2.65881774916725, 'y': 0.24241137567169024}. \n[I 2023-11-01 05:28:29,735] Trial 44 finished with values: [39.379073009758244, 21.85311954068964] and parameters: {'x': 3.0458680442502137, 'y': 0.7532968269247781}. \n[I 2023-11-01 05:28:29,736] Trial 45 finished with values: [63.96233636936583, 16.65215684613786] and parameters: {'x': 3.8488008933650453, 'y': 1.0850418312553143}. \n[I 2023-11-01 05:28:29,736] Trial 46 finished with values: [1.417106253451846, 42.72533618503284] and parameters: {'x': 0.2035806268094209, 'y': 0.5593134110235913}. \n[I 2023-11-01 05:28:29,737] Trial 47 finished with values: [27.85399098385412, 19.941166970930595] and parameters: {'x': 1.6163476461319293, 'y': 2.085885431371364}. \n[I 2023-11-01 05:28:29,738] Trial 48 finished with values: [76.21609222898577, 17.536853933631882] and parameters: {'x': 4.2764362233955815, 'y': 0.8752806889658751}. \n[I 2023-11-01 05:28:29,739] Trial 49 finished with values: [45.22427903187175, 19.283708054444645] and parameters: {'x': 3.2139242997210045, 'y': 0.988311870631325}. \n\u001b[2Kreading sources... [ 83%] reference/visualization/generated/optuna.visualization.plot_hypervolume_history\n:17: ExperimentalWarning:\n\nplot_hypervolume_history is experimental (supported from v3.3.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:29,814] A new study created in memory with name: no-name-951db5d6-5dd0-4f4c-903d-32684f8ec755\n[I 2023-11-01 05:28:29,818] Trial 0 finished with value: 0.0019136820148431557 and parameters: {'lr': 0.012169775677700537}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,822] Trial 1 finished with value: 0.9938688492959205 and parameters: {'lr': 1.2106198691436028e-05}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,826] Trial 2 finished with value: 0.1745378429868226 and parameters: {'lr': 0.0034244666391252923}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,830] Trial 3 finished with value: 0.006252957628893589 and parameters: {'lr': 0.009890438121030055}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,834] Trial 4 finished with value: 0.6055868994372475 and parameters: {'lr': 0.0009863431872330064}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,835] Trial 5 pruned. \n[I 2023-11-01 05:28:29,836] Trial 6 pruned. \n[I 2023-11-01 05:28:29,876] Trial 7 finished with value: 0.00348251977331975 and parameters: {'lr': 0.011018509458263562}. Best is trial 0 with value: 0.0019136820148431557.\n[I 2023-11-01 05:28:29,877] Trial 8 pruned. \n[I 2023-11-01 05:28:29,879] Trial 9 pruned. \n[I 2023-11-01 05:28:29,923] Trial 10 finished with value: 2.8413318183320897e-13 and parameters: {'lr': 0.053753912442422704}. Best is trial 10 with value: 2.8413318183320897e-13.\n[I 2023-11-01 05:28:29,969] Trial 11 finished with value: 3.23351297854631e-20 and parameters: {'lr': 0.08097836606986637}. Best is trial 11 with value: 3.23351297854631e-20.\n[I 2023-11-01 05:28:30,014] Trial 12 finished with value: 1.5818620680169856e-23 and parameters: {'lr': 0.09336678872953223}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,059] Trial 13 finished with value: 8.701934191941001e-16 and parameters: {'lr': 0.06380854538856418}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,108] Trial 14 finished with value: 1.3380099081736585e-15 and parameters: {'lr': 0.0630691017367573}. Best is trial 12 with value: 1.5818620680169856e-23.\n[I 2023-11-01 05:28:30,155] Trial 15 finished with value: 1.380974859858719e-22 and parameters: {'lr': 0.08988313704170887}. Best is trial 12 with value: 1.5818620680169856e-23.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_intermediate_values\n[I 2023-11-01 05:28:30,274] A new study created in memory with name: no-name-f1f2d988-007b-4bb0-b74a-b413cb5f2024\n[I 2023-11-01 05:28:30,276] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,277] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,278] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,279] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,280] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,281] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,282] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,283] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,284] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 84%] reference/visualization/generated/optuna.visualization.plot_optimization_history\n[I 2023-11-01 05:28:30,371] A new study created in memory with name: no-name-eccc748d-0c85-44b9-ab30-5933b04aab47\n[I 2023-11-01 05:28:30,372] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:30,373] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,374] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,375] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,376] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,378] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,379] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,380] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:30,381] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_parallel_coordinate\n[I 2023-11-01 05:28:30,457] A new study created in memory with name: no-name-0d09e0fa-112d-469a-8c04-54a8576bbc8e\n[I 2023-11-01 05:28:30,459] Trial 0 finished with value: 2.303288077753039 and parameters: {'x': 2, 'y': -0.958496101281197, 'z': 0.9504723523894132}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,460] Trial 1 finished with value: 3.987072181809778 and parameters: {'x': 2, 'y': -0.0029859753948191514, 'z': 0.3371949682962715}. Best is trial 0 with value: 2.303288077753039.\n[I 2023-11-01 05:28:30,461] Trial 2 finished with value: 0.1373303052750334 and parameters: {'x': 0, 'y': 0.5210614243979175, 'z': 0.2536662548438032}. Best is trial 2 with value: 0.1373303052750334.\n[I 2023-11-01 05:28:30,462] Trial 3 finished with value: -4.131719919585369 and parameters: {'x': 0, 'y': 0.3707196367355945, 'z': 1.4300900192924049}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,463] Trial 4 finished with value: -2.2075688995928044 and parameters: {'x': 0, 'y': 0.024384526771553228, 'z': 1.2189314424781703}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,464] Trial 5 finished with value: 1.0504976105266983 and parameters: {'x': 1, 'y': 0.4435106348635991, 'z': 0.43781410225594974}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,465] Trial 6 finished with value: 3.6403994820820413 and parameters: {'x': 2, 'y': 0.42915156679538113, 'z': 0.8138165520168918}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,466] Trial 7 finished with value: -1.0618155340386866 and parameters: {'x': 0, 'y': -0.2533184798970616, 'z': 1.011200422599518}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,467] Trial 8 finished with value: 0.26036828149432933 and parameters: {'x': 1, 'y': -0.13197201333341257, 'z': 0.9266504677039757}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,468] Trial 9 finished with value: 0.3665588473301721 and parameters: {'x': 1, 'y': 0.30079436386293446, 'z': 0.9015584301068166}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,469] Trial 10 finished with value: 0.5490457030167408 and parameters: {'x': 2, 'y': 0.043294304787268256, 'z': 1.3629733212130024}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,470] Trial 11 finished with value: -0.5909072245888702 and parameters: {'x': 0, 'y': -0.8190813014581853, 'z': 0.45105008495430504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,471] Trial 12 finished with value: 0.28403878205829847 and parameters: {'x': 0, 'y': 0.6573626526153533, 'z': 0.07034447908387464}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,472] Trial 13 finished with value: -1.2800539009325118 and parameters: {'x': 1, 'y': 0.09517231183848707, 'z': 1.228930493505103}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,473] Trial 14 finished with value: 0.28612245684320287 and parameters: {'x': 0, 'y': 0.7137006049154664, 'z': 0.5274789591481319}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,474] Trial 15 finished with value: 0.8413984238191299 and parameters: {'x': 2, 'y': -0.4080765862406426, 'z': 1.3259047193417794}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,475] Trial 16 finished with value: -0.4209059689419605 and parameters: {'x': 0, 'y': -0.669968204561703, 'z': 0.5887938659198809}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,476] Trial 17 finished with value: 0.2622281285098704 and parameters: {'x': 0, 'y': 0.6422113156738569, 'z': 0.2267280294638458}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,477] Trial 18 finished with value: -3.1150676084049143 and parameters: {'x': 1, 'y': 0.8885214244776023, 'z': 1.4814382123528085}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,478] Trial 19 finished with value: 1.2572674813923508 and parameters: {'x': 1, 'y': 0.6522456876854796, 'z': 0.377061201310589}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,479] Trial 20 finished with value: 1.109576126625988 and parameters: {'x': 1, 'y': 0.8056635206632548, 'z': 0.8018369232027226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,481] Trial 21 finished with value: 0.13525979446250405 and parameters: {'x': 1, 'y': -0.9214364655492253, 'z': 0.5357726379518044}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,482] Trial 22 finished with value: -0.11946269307197326 and parameters: {'x': 0, 'y': -0.38908016331436346, 'z': 0.496078967973198}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,483] Trial 23 finished with value: 3.048844180430364 and parameters: {'x': 2, 'y': -0.9200815826200455, 'z': 0.6442382676474575}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,488] Trial 24 finished with value: -0.052504516247150426 and parameters: {'x': 0, 'y': 0.27298228613508924, 'z': 0.5195207251200495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,490] Trial 25 finished with value: -1.2792692674509083 and parameters: {'x': 0, 'y': 0.759830349035832, 'z': 1.1448608807155216}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,491] Trial 26 finished with value: 3.314670809360776 and parameters: {'x': 2, 'y': -0.16498171232146608, 'z': 0.9083663465906351}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,492] Trial 27 finished with value: 0.9835588143169801 and parameters: {'x': 1, 'y': 0.1956732959259473, 'z': 0.3933234916979254}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,493] Trial 28 finished with value: -0.8979185222841687 and parameters: {'x': 0, 'y': -0.9492004358997879, 'z': 0.45459384097655214}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,494] Trial 29 finished with value: -0.5162192525906403 and parameters: {'x': 0, 'y': 0.11515637732528838, 'z': 0.8482605298322513}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,495] Trial 30 finished with value: 0.9287478215836122 and parameters: {'x': 1, 'y': -0.4144040474209818, 'z': 0.09637659104223667}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,496] Trial 31 finished with value: 3.6629941314557772 and parameters: {'x': 2, 'y': -0.3205843127242727, 'z': 0.7425729463236814}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,498] Trial 32 finished with value: 3.9463906776735107 and parameters: {'x': 2, 'y': -0.11845235019866696, 'z': 0.4774092082184268}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,499] Trial 33 finished with value: -1.6881011620090576 and parameters: {'x': 1, 'y': 0.156272859764935, 'z': 1.2809006257507296}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,500] Trial 34 finished with value: -1.893044916603758 and parameters: {'x': 0, 'y': -0.07093838444133493, 'z': 1.1729236779287227}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,501] Trial 35 finished with value: 4.005082765391397 and parameters: {'x': 2, 'y': 0.1720439601063517, 'z': 0.05564161985161181}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,502] Trial 36 finished with value: 0.9611598377675362 and parameters: {'x': 1, 'y': 0.12638136898549002, 'z': 0.44959480863684426}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,503] Trial 37 finished with value: 1.0385066437780113 and parameters: {'x': 1, 'y': 0.34693385056944104, 'z': 0.23879060006714026}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,504] Trial 38 finished with value: -0.03481869624869508 and parameters: {'x': 0, 'y': -0.32436822587064107, 'z': 0.16209565916917884}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,505] Trial 39 finished with value: 0.36926790170369916 and parameters: {'x': 0, 'y': 0.7716541923354114, 'z': 0.5480474568211737}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,506] Trial 40 finished with value: 0.12812115659454607 and parameters: {'x': 0, 'y': 0.5049923404372056, 'z': 0.16031937659035372}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,507] Trial 41 finished with value: 3.3512758155964324 and parameters: {'x': 2, 'y': -0.060429413119011066, 'z': 0.8973835069186638}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,508] Trial 42 finished with value: -1.128945814699914 and parameters: {'x': 0, 'y': -0.6319303558136975, 'z': 0.9676081897023627}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,509] Trial 43 finished with value: -0.5652914601075866 and parameters: {'x': 0, 'y': -0.5027749843944611, 'z': 0.8136127743420063}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,510] Trial 44 finished with value: -3.6754171752298412 and parameters: {'x': 0, 'y': -0.23717693019073582, 'z': 1.3833491803553195}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,511] Trial 45 finished with value: 3.5923565401224673 and parameters: {'x': 2, 'y': 0.1334998491499999, 'z': 0.800206327483504}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,512] Trial 46 finished with value: 0.3273232510679114 and parameters: {'x': 0, 'y': 0.9557985268040099, 'z': 0.8595433560497787}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,513] Trial 47 finished with value: 1.0025147792970173 and parameters: {'x': 2, 'y': 0.12311472055273787, 'z': 1.316002862347402}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,514] Trial 48 finished with value: 1.0704131899221963 and parameters: {'x': 1, 'y': 0.41769965273791043, 'z': 0.22280017703468785}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,515] Trial 49 finished with value: 1.0577053447123854 and parameters: {'x': 1, 'y': 0.38778013268482336, 'z': 0.15692961678427975}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,516] Trial 50 finished with value: 0.3680190757085285 and parameters: {'x': 1, 'y': -0.6675957045909326, 'z': 0.7604679438960711}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,517] Trial 51 finished with value: 1.3747495993933643 and parameters: {'x': 2, 'y': -0.8197865305511229, 'z': 1.2001031260412178}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,518] Trial 52 finished with value: 0.9979094500663931 and parameters: {'x': 1, 'y': 0.1786954233612148, 'z': 0.29715098582440336}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,519] Trial 53 finished with value: 0.9319764488693013 and parameters: {'x': 1, 'y': -0.4081924755583253, 'z': 0.05633651391251654}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,520] Trial 54 finished with value: -1.5592042740852488 and parameters: {'x': 0, 'y': -0.09378999959753309, 'z': 1.1172961154251015}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,521] Trial 55 finished with value: 0.9838292684588362 and parameters: {'x': 1, 'y': -0.22977280086902696, 'z': 0.2521091962989279}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,522] Trial 56 finished with value: 2.1076623237986754 and parameters: {'x': 2, 'y': 0.19810359492298524, 'z': 1.1740722273674566}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,523] Trial 57 finished with value: 2.1246831699758735 and parameters: {'x': 2, 'y': 0.20632595172406965, 'z': 1.1715909259354231}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,524] Trial 58 finished with value: -1.4840880698467611 and parameters: {'x': 1, 'y': -0.95766961765569, 'z': 1.1256969157312366}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,525] Trial 59 finished with value: -0.3515250197672625 and parameters: {'x': 0, 'y': -0.08297158752545397, 'z': 0.7696840615983677}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,527] Trial 60 finished with value: 1.3220296764593489 and parameters: {'x': 1, 'y': 0.6887715890786952, 'z': 0.2622208422331791}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,528] Trial 61 finished with value: -1.2007575031405602 and parameters: {'x': 0, 'y': 0.6975281436224643, 'z': 1.1140118659491511}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,529] Trial 62 finished with value: 0.994468973365035 and parameters: {'x': 1, 'y': -0.1662031859012445, 'z': 0.1750942664204449}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,530] Trial 63 finished with value: -0.8620345557039887 and parameters: {'x': 1, 'y': -0.8106819185126939, 'z': 1.0737463091269712}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,531] Trial 64 finished with value: -0.7521010442890089 and parameters: {'x': 0, 'y': -0.588099483262055, 'z': 0.8606643471768032}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,532] Trial 65 finished with value: -2.080632890204889 and parameters: {'x': 0, 'y': 0.3114534854291964, 'z': 1.2053525216148295}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,533] Trial 66 finished with value: -1.7527509150220157 and parameters: {'x': 1, 'y': -0.8131192461124659, 'z': 1.2199741255062062}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,534] Trial 67 finished with value: 1.1629406477988748 and parameters: {'x': 2, 'y': -0.2131617751269692, 'z': 1.2967187907029298}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,535] Trial 68 finished with value: -1.5100225453807168 and parameters: {'x': 1, 'y': -0.48539422558999235, 'z': 1.2441028797408538}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,536] Trial 69 finished with value: 3.1274555273715547 and parameters: {'x': 2, 'y': 0.015201816109918775, 'z': 0.9664899225621255}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,537] Trial 70 finished with value: -3.911644822917701 and parameters: {'x': 0, 'y': 0.7914178974071162, 'z': 1.4489193772617226}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,538] Trial 71 finished with value: 0.34386198109125343 and parameters: {'x': 0, 'y': 0.7311052364545663, 'z': 0.46542556041017846}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,539] Trial 72 finished with value: -0.7388007953082896 and parameters: {'x': 0, 'y': -0.9016096844525427, 'z': 0.27694025702139824}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,540] Trial 73 finished with value: -3.6407063057001596 and parameters: {'x': 0, 'y': -0.4850491531909138, 'z': 1.370372597356012}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,541] Trial 74 finished with value: -1.5826031648960468 and parameters: {'x': 1, 'y': -0.7395764210408102, 'z': 1.2148374981002679}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,542] Trial 75 finished with value: -2.589088162728826 and parameters: {'x': 1, 'y': -0.9511347100336718, 'z': 1.2852465639416288}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,543] Trial 76 finished with value: -0.007960371974823174 and parameters: {'x': 0, 'y': 0.4182119281439811, 'z': 0.533658514235495}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,544] Trial 77 finished with value: 3.9028308169237502 and parameters: {'x': 2, 'y': 0.6892377222877011, 'z': 0.8072212757099377}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,545] Trial 78 finished with value: 0.46670116449600285 and parameters: {'x': 1, 'y': -0.7549800371251603, 'z': 0.5664628778611204}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,546] Trial 79 finished with value: -2.2015513126587933 and parameters: {'x': 1, 'y': 0.022417292570930725, 'z': 1.3376438549035414}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,547] Trial 80 finished with value: -2.013616301607068 and parameters: {'x': 0, 'y': -0.207116242243099, 'z': 1.189909849541421}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,548] Trial 81 finished with value: -1.7738059712887448 and parameters: {'x': 1, 'y': -0.6302649000181753, 'z': 1.2603709741325857}. Best is trial 3 with value: -4.131719919585369.\n[I 2023-11-01 05:28:30,550] Trial 82 finished with value: -4.523011054108479 and parameters: {'x': 1, 'y': -0.8798995888983607, 'z': 1.4833754612943018}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,551] Trial 83 finished with value: -0.08079888724155815 and parameters: {'x': 0, 'y': 0.22940342596033925, 'z': 0.5520400212531891}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,552] Trial 84 finished with value: 1.7141266522072458 and parameters: {'x': 2, 'y': 0.25512370541125784, 'z': 1.2318247142973906}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,553] Trial 85 finished with value: -0.7520872270920254 and parameters: {'x': 0, 'y': -0.4504097368144626, 'z': 0.901577836698765}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,554] Trial 86 finished with value: 4.046893464626376 and parameters: {'x': 2, 'y': 0.41459261868287456, 'z': 0.3951047474351363}. Best is trial 82 with value: -4.523011054108479.\n[I 2023-11-01 05:28:30,555] Trial 87 finished with value: -4.571964349495191 and parameters: {'x': 0, 'y': -0.08255154162027267, 'z': 1.4622187490950038}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,556] Trial 88 finished with value: 3.769073758442562 and parameters: {'x': 2, 'y': -0.6134925354270779, 'z': 0.0701088407420925}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,557] Trial 89 finished with value: 1.9906707709215672 and parameters: {'x': 2, 'y': 0.7172980309368531, 'z': 1.2418547636228567}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,558] Trial 90 finished with value: 0.20579475832853023 and parameters: {'x': 2, 'y': 0.1978728981453497, 'z': 1.3963737537716272}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,559] Trial 91 finished with value: -0.5572192676601909 and parameters: {'x': 0, 'y': -0.7720793824906156, 'z': 0.5580433532607516}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,560] Trial 92 finished with value: 3.115262529317084 and parameters: {'x': 2, 'y': -0.3577159370700811, 'z': 0.9570526220169401}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,561] Trial 93 finished with value: -0.06522562849929504 and parameters: {'x': 0, 'y': 0.08693007694983201, 'z': 0.5066319703277753}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,562] Trial 94 finished with value: 4.574547370310522 and parameters: {'x': 2, 'y': 0.8814140769664465, 'z': 0.5761827737303541}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,563] Trial 95 finished with value: 1.5015652459171465 and parameters: {'x': 1, 'y': 0.7945598896386961, 'z': 0.08823355215277057}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,564] Trial 96 finished with value: 0.5950628609995365 and parameters: {'x': 1, 'y': -0.7396489187381752, 'z': 0.13045411338692636}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,565] Trial 97 finished with value: 3.3511994815140613 and parameters: {'x': 2, 'y': -0.3908532893067598, 'z': 0.8760838088329035}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,566] Trial 98 finished with value: 3.781443021265078 and parameters: {'x': 2, 'y': 0.7615841212270811, 'z': 0.9014313108685146}. Best is trial 87 with value: -4.571964349495191.\n[I 2023-11-01 05:28:30,567] Trial 99 finished with value: 0.26309303070193535 and parameters: {'x': 1, 'y': -0.8867435943237876, 'z': 0.44622614546388273}. Best is trial 87 with value: -4.571964349495191.\n\u001b[2Kreading sources... [ 85%] reference/visualization/generated/optuna.visualization.plot_param_importances\n[I 2023-11-01 05:28:32,285] A new study created in memory with name: no-name-0f2512ef-c610-4616-ad80-f62e559cc591\n[I 2023-11-01 05:28:32,286] Trial 0 finished with values: [17.51036539964409, 26.005413544153832] and parameters: {'x': 1.8385428033643803, 'y': 0.9986749772113391}. \n[I 2023-11-01 05:28:32,287] Trial 1 finished with values: [34.24479329450102, 24.80912271172008] and parameters: {'x': 0.49069415930665994, 'y': 2.884513401883858}. \n[I 2023-11-01 05:28:32,288] Trial 2 finished with values: [31.083067105368066, 25.048220846332406] and parameters: {'x': 2.735432012135339, 'y': 0.5368225808656225}. \n[I 2023-11-01 05:28:32,289] Trial 3 finished with values: [104.20121655223096, 12.313267694167042] and parameters: {'x': 4.8807017365624645, 'y': 1.4930019078266055}. \n[I 2023-11-01 05:28:32,290] Trial 4 finished with values: [80.42092472123605, 6.810766657708406] and parameters: {'x': 3.357447101525994, 'y': 2.9719993507340665}. \n[I 2023-11-01 05:28:32,291] Trial 5 finished with values: [60.21773135035349, 24.874099336278945] and parameters: {'x': 3.8774567779596114, 'y': 0.1405765721713308}. \n[I 2023-11-01 05:28:32,292] Trial 6 finished with values: [58.19640526573633, 10.609939864437987] and parameters: {'x': 2.665848381894378, 'y': 2.7280677633052317}. \n[I 2023-11-01 05:28:32,293] Trial 7 finished with values: [7.498090692076783, 32.60750659438443] and parameters: {'x': 1.0593537469786645, 'y': 0.8673478608848121}. \n[I 2023-11-01 05:28:32,294] Trial 8 finished with values: [22.615603504299166, 24.033606123003366] and parameters: {'x': 1.008875910654734, 'y': 2.1531535646524085}. \n[I 2023-11-01 05:28:32,294] Trial 9 finished with values: [51.78773223057058, 23.871048293855257] and parameters: {'x': 3.5835655729597855, 'y': 0.3240229034189537}. \n[I 2023-11-01 05:28:32,295] Trial 10 finished with values: [86.00928614076577, 8.227903229132016] and parameters: {'x': 4.025132975626166, 'y': 2.3023088549797768}. \n[I 2023-11-01 05:28:32,296] Trial 11 finished with values: [104.09679114947612, 15.751990779156515] and parameters: {'x': 4.996096554544834, 'y': 1.031124146276418}. \n[I 2023-11-01 05:28:32,297] Trial 12 finished with values: [25.72559879941316, 29.69053859748491] and parameters: {'x': 2.5320391717172344, 'y': 0.14204693851960348}. \n[I 2023-11-01 05:28:32,298] Trial 13 finished with values: [90.20405927842945, 6.452495340644873] and parameters: {'x': 3.899040202465438, 'y': 2.710811745430811}. \n[I 2023-11-01 05:28:32,299] Trial 14 finished with values: [20.688348330935234, 31.16575757456028] and parameters: {'x': 2.2704958530035713, 'y': 0.1301370978137819}. \n[I 2023-11-01 05:28:32,304] Trial 15 finished with values: [83.59959147278371, 14.105348138530035] and parameters: {'x': 4.384362309543177, 'y': 1.2950926634234126}. \n[I 2023-11-01 05:28:32,305] Trial 16 finished with values: [36.80607156024476, 16.361615132378894] and parameters: {'x': 2.254315101877193, 'y': 2.029675173891037}. \n[I 2023-11-01 05:28:32,306] Trial 17 finished with values: [30.57555383419924, 18.808656634679885] and parameters: {'x': 2.1687112601525103, 'y': 1.7148119222344826}. \n[I 2023-11-01 05:28:32,307] Trial 18 finished with values: [21.65264512403334, 30.957250013989988] and parameters: {'x': 2.3234097785750714, 'y': 0.12218134812676329}. \n[I 2023-11-01 05:28:32,308] Trial 19 finished with values: [45.6328282927594, 13.861020067074357] and parameters: {'x': 2.148741642967455, 'y': 2.605977057644094}. \n[I 2023-11-01 05:28:32,309] Trial 20 finished with values: [82.2055024230382, 25.004793391801883] and parameters: {'x': 4.533312249918512, 'y': 0.021345971477254255}. \n[I 2023-11-01 05:28:32,310] Trial 21 finished with values: [11.2638199891938, 33.349506982545435] and parameters: {'x': 1.6520130540337759, 'y': 0.2946317474415252}. \n[I 2023-11-01 05:28:32,311] Trial 22 finished with values: [22.419133889530894, 30.4359021759024] and parameters: {'x': 2.3623961796825226, 'y': 0.1544919499655103}. \n[I 2023-11-01 05:28:32,311] Trial 23 finished with values: [22.358042046020422, 22.76970830535809] and parameters: {'x': 1.9602184198696793, 'y': 1.3217618007450223}. \n[I 2023-11-01 05:28:32,313] Trial 24 finished with values: [35.396819251824624, 21.644312510273075] and parameters: {'x': 0.8783625558508301, 'y': 2.8421266744174782}. \n[I 2023-11-01 05:28:32,314] Trial 25 finished with values: [8.977659811895204, 33.791981537695435] and parameters: {'x': 1.4431759226183205, 'y': 0.40206741890951614}. \n[I 2023-11-01 05:28:32,315] Trial 26 finished with values: [15.211765830887023, 29.767236820744714] and parameters: {'x': 0.5256321534924202, 'y': 1.8779383102052838}. \n[I 2023-11-01 05:28:32,316] Trial 27 finished with values: [71.02248599263751, 18.67179362025205] and parameters: {'x': 4.143793521974521, 'y': 0.7645892658162116}. \n[I 2023-11-01 05:28:32,317] Trial 28 finished with values: [13.749636377597263, 33.603390293076586] and parameters: {'x': 0.1342431902780794, 'y': 1.8491586898541938}. \n[I 2023-11-01 05:28:32,318] Trial 29 finished with values: [37.99891366193827, 16.264615766762336] and parameters: {'x': 1.8848498842598933, 'y': 2.43866138061233}. \n[I 2023-11-01 05:28:32,319] Trial 30 finished with values: [25.500541294747087, 20.82560507936128] and parameters: {'x': 1.9452409612597292, 'y': 1.60971206317282}. \n[I 2023-11-01 05:28:32,320] Trial 31 finished with values: [30.448548468638588, 19.616005462996032] and parameters: {'x': 2.3434319955042557, 'y': 1.4561811699121059}. \n[I 2023-11-01 05:28:32,321] Trial 32 finished with values: [8.543170285545377, 31.468624046565218] and parameters: {'x': 1.0251945662606476, 'y': 1.0415222862214648}. \n[I 2023-11-01 05:28:32,322] Trial 33 finished with values: [86.2280839191978, 7.584481496916727] and parameters: {'x': 3.938421520067025, 'y': 2.4588324282212475}. \n[I 2023-11-01 05:28:32,323] Trial 34 finished with values: [82.50403742818854, 15.583103893627026] and parameters: {'x': 4.407047407403136, 'y': 1.0972431389388755}. \n[I 2023-11-01 05:28:32,324] Trial 35 finished with values: [37.58642525918006, 17.218183510675193] and parameters: {'x': 1.6081669272533987, 'y': 2.6096753531585835}. \n[I 2023-11-01 05:28:32,325] Trial 36 finished with values: [39.80158375981972, 16.18811203045881] and parameters: {'x': 1.7552698382988041, 'y': 2.620958552650808}. \n[I 2023-11-01 05:28:32,326] Trial 37 finished with values: [80.47403287490975, 7.727898440814708] and parameters: {'x': 3.692054408233746, 'y': 2.547006569557527}. \n[I 2023-11-01 05:28:32,326] Trial 38 finished with values: [30.92409799321713, 18.778596352488123] and parameters: {'x': 2.216476578367568, 'y': 1.6787662362140479}. \n[I 2023-11-01 05:28:32,327] Trial 39 finished with values: [37.477852986008486, 16.439845959338484] and parameters: {'x': 1.8683594480752692, 'y': 2.4246022806410945}. \n[I 2023-11-01 05:28:32,328] Trial 40 finished with values: [33.352298756650086, 23.503224211783564] and parameters: {'x': 2.8072800995216736, 'y': 0.6762049482162219}. \n[I 2023-11-01 05:28:32,329] Trial 41 finished with values: [46.96958805300483, 14.296794222887966] and parameters: {'x': 2.8657225842604976, 'y': 1.8788376947758265}. \n[I 2023-11-01 05:28:32,330] Trial 42 finished with values: [124.5743113291259, 4.233782515386345] and parameters: {'x': 4.730926029459466, 'y': 2.960053502230047}. \n[I 2023-11-01 05:28:32,331] Trial 43 finished with values: [34.63760056395783, 21.029322414397118] and parameters: {'x': 0.9928851850739678, 'y': 2.770122587585266}. \n[I 2023-11-01 05:28:32,332] Trial 44 finished with values: [6.371132562903434, 34.42693514404985] and parameters: {'x': 0.6139039247567935, 'y': 1.1026808749108075}. \n[I 2023-11-01 05:28:32,334] Trial 45 finished with values: [110.51851945007877, 5.361875428788721] and parameters: {'x': 4.484159852628244, 'y': 2.7426155907448537}. \n[I 2023-11-01 05:28:32,335] Trial 46 finished with values: [18.396158449411985, 24.930639783206153] and parameters: {'x': 1.7980387053336733, 'y': 1.1688012775810113}. \n[I 2023-11-01 05:28:32,336] Trial 47 finished with values: [23.553038355158975, 30.552525587387127] and parameters: {'x': 0.10947029954679055, 'y': 2.424103100593471}. \n[I 2023-11-01 05:28:32,337] Trial 48 finished with values: [129.99413373858516, 4.202537796415826] and parameters: {'x': 4.8758457666951, 'y': 2.953753797127946}. \n[I 2023-11-01 05:28:32,338] Trial 49 finished with values: [74.81529230636848, 11.947906319154267] and parameters: {'x': 3.977456454394646, 'y': 1.6981352213491392}. \n[I 2023-11-01 05:28:32,386] A new study created in memory with name: no-name-0247772a-1666-49b2-b8fe-035fb36f2c37\n[I 2023-11-01 05:28:32,388] Trial 0 finished with values: [66.51405186192238, 128.39395469725352, 4.253640113532251] and parameters: {'x': 3.613431953021031, 'y': 0.6402081605112202}. \n[I 2023-11-01 05:28:32,389] Trial 1 finished with values: [14.254770725082174, 148.9665326187382, 2.7446426386977882] and parameters: {'x': 1.1568523127435855, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,390] Trial 2 finished with values: [32.54810056126128, 141.08651370100353, 3.2843290957273843] and parameters: {'x': 2.4727326700037384, 'y': 0.811596425723646}. \n[I 2023-11-01 05:28:32,390] Trial 3 finished with values: [4.677530823967064, 175.13410048651423, 1.292789059234706] and parameters: {'x': 0.9240903122373767, 'y': 0.3686987469973294}. \n[I 2023-11-01 05:28:32,391] Trial 4 finished with values: [54.377285808531695, 138.77762857043058, 3.606918432268033] and parameters: {'x': 3.2885630723127357, 'y': 0.3183553599552975}. \n[I 2023-11-01 05:28:32,392] Trial 5 finished with values: [44.62132090323866, 146.7799877360611, 3.1075097746680553] and parameters: {'x': 2.9858642982369514, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,393] Trial 6 finished with values: [32.03939065119614, 143.4592416629389, 3.156703664397384] and parameters: {'x': 2.475827720029849, 'y': 0.6808759443675353}. \n[I 2023-11-01 05:28:32,394] Trial 7 finished with values: [59.89470529741372, 114.95146830037888, 4.910111629479088] and parameters: {'x': 3.196373149956978, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,395] Trial 8 finished with values: [92.51463646188427, 119.72491485574125, 4.948118161907244] and parameters: {'x': 4.269238935701882, 'y': 0.6788792262053623}. \n[I 2023-11-01 05:28:32,396] Trial 9 finished with values: [101.80744698048107, 87.25950647599078, 6.825912243198784] and parameters: {'x': 3.9034723619222462, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,397] Trial 10 finished with values: [54.99535303562035, 113.4786725856997, 4.959812727654919] and parameters: {'x': 2.9129513915637286, 'y': 2.04686133609119}. \n[I 2023-11-01 05:28:32,398] Trial 11 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,399] Trial 12 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,400] Trial 13 finished with values: [23.94832768760376, 137.52747871595926, 3.416020106759425] and parameters: {'x': 1.7895090296168576, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,401] Trial 14 finished with values: [123.9100686288477, 109.35232293704622, 5.785994252645041] and parameters: {'x': 4.934239792460765, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,401] Trial 15 finished with values: [64.05248887767407, 113.18393277180213, 5.0403334925794345] and parameters: {'x': 3.322700784565294, 'y': 1.7176327080141405}. \n[I 2023-11-01 05:28:32,402] Trial 16 finished with values: [15.30109898882454, 150.54237270581854, 2.652045448846544] and parameters: {'x': 1.5085181372088803, 'y': 1.1435273116376639}. \n[I 2023-11-01 05:28:32,403] Trial 17 finished with values: [4.961089034155023, 168.87102955471053, 1.6266162655964882] and parameters: {'x': 0.6127905165038666, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,404] Trial 18 finished with values: [101.89555614387784, 121.56063113251085, 4.944860255084132] and parameters: {'x': 4.501224691197799, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,405] Trial 19 finished with values: [7.003940555081302, 163.6403286494119, 1.9101205749049273] and parameters: {'x': 0.8589878091539022, 'y': 1.0511327657510252}. \n[I 2023-11-01 05:28:32,406] Trial 20 finished with values: [60.75076388297276, 122.58959120581629, 4.503538855639122] and parameters: {'x': 3.374141292771876, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,407] Trial 21 finished with values: [8.52266050378603, 169.1352435185143, 1.6309796362061229] and parameters: {'x': 1.2763525719556772, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,408] Trial 22 finished with values: [63.97040546764423, 113.64660871548071, 5.014041527604506] and parameters: {'x': 3.3307722576702647, 'y': 1.683269269934241}. \n[I 2023-11-01 05:28:32,409] Trial 23 finished with values: [64.03458286923122, 105.69359581734938, 5.4737837440138355] and parameters: {'x': 3.0435810139006456, 'y': 2.43020273011319}. \n[I 2023-11-01 05:28:32,410] Trial 24 finished with values: [55.798043821743946, 108.88009856543096, 5.24400628246709] and parameters: {'x': 2.6941947941291895, 'y': 2.549811488337901}. \n[I 2023-11-01 05:28:32,411] Trial 25 finished with values: [80.74201589621185, 104.63247855435364, 5.649069785822386] and parameters: {'x': 3.7349961903466373, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,412] Trial 26 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,413] Trial 27 finished with values: [23.98265286925981, 135.64433683073645, 3.5679614825096] and parameters: {'x': 1.2190064451171763, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,414] Trial 28 finished with values: [75.44480576587318, 123.24118956865217, 4.604096875879513] and parameters: {'x': 3.8389728122992617, 'y': 0.7651240635802518}. \n[I 2023-11-01 05:28:32,415] Trial 29 finished with values: [137.35211359441377, 87.14507757986648, 7.107295791465884] and parameters: {'x': 4.973888487233168, 'y': 2.133407304232716}. \n[I 2023-11-01 05:28:32,415] Trial 30 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n[I 2023-11-01 05:28:32,416] Trial 31 finished with values: [112.19027591273917, 98.93873833560303, 6.231111065325132] and parameters: {'x': 4.555622733854407, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,417] Trial 32 finished with values: [96.74489176131696, 94.53036685363588, 6.350863837103546] and parameters: {'x': 4.006367492766769, 'y': 2.3444963443367772}. \n[I 2023-11-01 05:28:32,418] Trial 33 finished with values: [55.66121837106375, 114.53168125904665, 4.903336063010671] and parameters: {'x': 2.9888133776871633, 'y': 1.9145226853235073}. \n[I 2023-11-01 05:28:32,419] Trial 34 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,420] Trial 35 finished with values: [36.139912313478725, 150.30450236021318, 2.846693068819592] and parameters: {'x': 2.6855931471151466, 'y': 0.16109992170444554}. \n[I 2023-11-01 05:28:32,421] Trial 36 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,422] Trial 37 finished with values: [13.789359632340782, 156.98385883468913, 2.3783575458514257] and parameters: {'x': 0.26108463875519905, 'y': 2.1172729070962264}. \n[I 2023-11-01 05:28:32,423] Trial 38 finished with values: [67.86727574435633, 138.75245993466538, 3.741115115577589] and parameters: {'x': 3.683950936542507, 'y': 0.057164179035082086}. \n[I 2023-11-01 05:28:32,424] Trial 39 finished with values: [115.38236566324701, 100.82488429650763, 6.1572919163293065] and parameters: {'x': 4.6620916868915065, 'y': 1.4952002294378}. \n[I 2023-11-01 05:28:32,425] Trial 40 finished with values: [106.67069196004533, 113.89851308095689, 5.384859170117088] and parameters: {'x': 4.576221285632362, 'y': 0.8086378844847265}. \n[I 2023-11-01 05:28:32,426] Trial 41 finished with values: [29.493127596455963, 155.7408755452995, 2.508015818433839] and parameters: {'x': 2.427915963797666, 'y': 0.08009985463617253}. \n[I 2023-11-01 05:28:32,427] Trial 42 finished with values: [46.367354922258485, 138.36601981018174, 3.551077173047799] and parameters: {'x': 3.017007218158858, 'y': 0.534069954888941}. \n[I 2023-11-01 05:28:32,428] Trial 43 finished with values: [67.6465928660321, 122.17544497240004, 4.587290681037549] and parameters: {'x': 3.59741692653069, 'y': 0.9898737545068598}. \n[I 2023-11-01 05:28:32,429] Trial 44 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,429] Trial 45 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,430] Trial 46 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,431] Trial 47 finished with values: [29.52858932745362, 131.05628950847, 3.8105566491668004] and parameters: {'x': 1.9654925403108991, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,432] Trial 48 finished with values: [6.088117302665923, 166.88228053309626, 1.750612223643878] and parameters: {'x': 0.4497456418601836, 'y': 1.3008665817836944}. \n[I 2023-11-01 05:28:32,433] Trial 49 finished with values: [21.278707809783963, 138.63180227189966, 3.3686437759104577] and parameters: {'x': 1.2776295314874204, 'y': 2.0910142444230373}. \n[I 2023-11-01 05:28:32,449] Trial 50 finished with values: [19.27651378376268, 153.6446228541178, 2.5180442092423903] and parameters: {'x': 1.9052549261012102, 'y': 0.6127892831411801}. \n[I 2023-11-01 05:28:32,450] Trial 51 finished with values: [81.83722169864063, 99.32674043853552, 5.962386990413455] and parameters: {'x': 3.613431953021031, 'y': 2.348955037392424}. \n[I 2023-11-01 05:28:32,451] Trial 52 finished with values: [41.69527284458037, 131.10543286487783, 3.8875605552645767] and parameters: {'x': 2.7500309938319183, 'y': 1.1375295614326584}. \n[I 2023-11-01 05:28:32,452] Trial 53 finished with values: [53.80858815715409, 115.06365286047608, 4.860784299274995] and parameters: {'x': 2.9129513915637286, 'y': 1.947832907711266}. \n[I 2023-11-01 05:28:32,453] Trial 54 finished with values: [8.000866891601165, 167.86097435802156, 1.739870716696283] and parameters: {'x': 0.11335963955371564, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,455] Trial 55 finished with values: [86.08953446631097, 96.66524991188524, 6.149179928749174] and parameters: {'x': 3.683950936542507, 'y': 2.465228992206667}. \n[I 2023-11-01 05:28:32,456] Trial 56 finished with values: [71.84307409486311, 123.24597439586029, 4.570079297057907] and parameters: {'x': 3.7349961903466373, 'y': 0.8350831067112694}. \n[I 2023-11-01 05:28:32,457] Trial 57 finished with values: [54.40817812396588, 126.93839870268903, 4.217718699095672] and parameters: {'x': 3.20389295000305, 'y': 1.0138257490926215}. \n[I 2023-11-01 05:28:32,458] Trial 58 finished with values: [63.812992129578554, 111.48028128622093, 5.13384908603345] and parameters: {'x': 3.266588672369756, 'y': 1.8672604136636943}. \n[I 2023-11-01 05:28:32,460] Trial 59 finished with values: [6.977050884296457, 164.27515630282014, 1.874061602758235] and parameters: {'x': 0.9240903122373767, 'y': 0.9499712905208583}. \n[I 2023-11-01 05:28:32,461] Trial 60 finished with values: [125.96663000430767, 83.40499840395601, 7.229768020327978] and parameters: {'x': 4.580696102818924, 'y': 2.6490719175090547}. \n[I 2023-11-01 05:28:32,462] Trial 61 finished with values: [74.0111665144845, 124.66811809529167, 4.516752482465603] and parameters: {'x': 3.807995751092257, 'y': 0.7087567313733459}. \n[I 2023-11-01 05:28:32,463] Trial 62 finished with values: [16.96439791527305, 145.22118873923415, 2.9590061045748977] and parameters: {'x': 1.3712157786206947, 'y': 1.5877903259542028}. \n[I 2023-11-01 05:28:32,464] Trial 63 finished with values: [60.85848300170507, 129.2033801978531, 4.158609445196128] and parameters: {'x': 3.444689804349445, 'y': 0.7139196408466834}. \n[I 2023-11-01 05:28:32,465] Trial 64 finished with values: [42.86391282619441, 142.73460134353215, 3.2948256196061974] and parameters: {'x': 2.9129513915637286, 'y': 0.38187422804246884}. \n[I 2023-11-01 05:28:32,467] Trial 65 finished with values: [130.668134831933, 97.43195883863461, 6.480223252492862] and parameters: {'x': 4.977894292090651, 'y': 1.5023289604022108}. \n[I 2023-11-01 05:28:32,468] Trial 66 finished with values: [47.26618294037921, 123.90217176783239, 4.320287951844051] and parameters: {'x': 2.8585302627608273, 'y': 1.4617576890832242}. \n[I 2023-11-01 05:28:32,469] Trial 67 finished with values: [41.500883362849976, 118.80872427813321, 4.585690524147454] and parameters: {'x': 2.22859586731232, 'y': 2.357094656835134}. \n[I 2023-11-01 05:28:32,470] Trial 68 finished with values: [78.81843672172305, 99.54596559753344, 5.929619513954454] and parameters: {'x': 3.493090973039174, 'y': 2.4365285409152797}. \n[I 2023-11-01 05:28:32,471] Trial 69 finished with values: [97.2601096383908, 114.9192455752314, 5.242322632197303] and parameters: {'x': 4.3567771908176836, 'y': 0.8855454413796192}. \n[I 2023-11-01 05:28:32,473] Trial 70 finished with values: [108.99019920774138, 86.0875907567113, 6.944155109469177] and parameters: {'x': 4.127839651043683, 'y': 2.8163154584254944}. \n[I 2023-11-01 05:28:32,474] Trial 71 finished with values: [43.90142979826749, 122.69670812830825, 4.362916883091158] and parameters: {'x': 2.6491784035690475, 'y': 1.7137384795221098}. \n[I 2023-11-01 05:28:32,475] Trial 72 finished with values: [91.2423463617904, 94.6027309395139, 6.307208171042922] and parameters: {'x': 3.807995751092257, 'y': 2.4992124199506653}. \n[I 2023-11-01 05:28:32,476] Trial 73 finished with values: [108.98938314563641, 94.29312288630999, 6.461733154065381] and parameters: {'x': 4.382124213368651, 'y': 2.0796089406967297}. \n[I 2023-11-01 05:28:32,477] Trial 74 finished with values: [39.41451611160953, 133.06416943098185, 3.764515840026097] and parameters: {'x': 2.6787177358857903, 'y': 1.0857981041403064}. \n[I 2023-11-01 05:28:32,478] Trial 75 finished with values: [107.00609629365147, 96.94273417340128, 6.296197808844399] and parameters: {'x': 4.382124213368651, 'y': 1.9140735954757484}. \n[I 2023-11-01 05:28:32,479] Trial 76 finished with values: [2.279612174140527, 178.6137283914836, 1.1007339111273575] and parameters: {'x': 0.4440677493628531, 'y': 0.6566661617645043}. \n[I 2023-11-01 05:28:32,480] Trial 77 finished with values: [46.98342264296869, 135.24439698417314, 3.7174261096933994] and parameters: {'x': 3.017007218158858, 'y': 0.7004188915345412}. \n[I 2023-11-01 05:28:32,481] Trial 78 finished with values: [38.0541005240769, 137.29157044759157, 3.5304721960700665] and parameters: {'x': 2.6787177358857903, 'y': 0.8517544601842764}. \n[I 2023-11-01 05:28:32,482] Trial 79 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,483] Trial 80 finished with values: [0.39090842528960823, 191.99182343045004, 0.4068331198243713] and parameters: {'x': 0.05220605557392566, 'y': 0.35462706425044566}. \n[I 2023-11-01 05:28:32,484] Trial 81 finished with values: [57.082643478288595, 114.64306589760064, 4.9067583712186185] and parameters: {'x': 3.061694262362718, 'y': 1.845064108855901}. \n[I 2023-11-01 05:28:32,486] Trial 82 finished with values: [19.36019749589741, 162.13519821311388, 2.087138016742003] and parameters: {'x': 1.9654925403108991, 'y': 0.1216454764311038}. \n[I 2023-11-01 05:28:32,486] Trial 83 finished with values: [3.829335568075157, 174.44232917867387, 1.3394336275810945] and parameters: {'x': 0.26108463875519905, 'y': 1.0783489888258955}. \n[I 2023-11-01 05:28:32,488] Trial 84 finished with values: [32.09714128096098, 137.77525229694987, 3.454543417150334] and parameters: {'x': 2.397788497875844, 'y': 1.05675491927449}. \n[I 2023-11-01 05:28:32,489] Trial 85 finished with values: [5.555899353276137, 169.08958545283508, 1.6340205488925352] and parameters: {'x': 0.3506494411935901, 'y': 1.2833711076989451}. \n[I 2023-11-01 05:28:32,490] Trial 86 finished with values: [90.66798662467258, 115.35476263043027, 5.157581611860665] and parameters: {'x': 4.192183322669817, 'y': 0.9653982891908479}. \n[I 2023-11-01 05:28:32,491] Trial 87 finished with values: [109.72040963733477, 84.8879179143029, 7.023621297851715] and parameters: {'x': 4.1011814165751765, 'y': 2.9224398812765386}. \n[I 2023-11-01 05:28:32,493] Trial 88 finished with values: [98.13151715860148, 110.69010786654337, 5.4723205553590555] and parameters: {'x': 4.342922992491809, 'y': 1.1293975628672461}. \n[I 2023-11-01 05:28:32,494] Trial 89 finished with values: [119.34442336031049, 97.28111383838124, 6.385533764661934] and parameters: {'x': 4.710045433191209, 'y': 1.6754883314707247}. \n[I 2023-11-01 05:28:32,495] Trial 90 finished with values: [108.76750623268478, 125.02133199081098, 4.837221874438101] and parameters: {'x': 4.6620916868915065, 'y': 0.17513018754659448}. \n[I 2023-11-01 05:28:32,496] Trial 91 finished with values: [50.01175149173915, 124.2388558473998, 4.323819552270937] and parameters: {'x': 2.9888133776871633, 'y': 1.3350061745837738}. \n[I 2023-11-01 05:28:32,498] Trial 92 finished with values: [86.07107920861839, 110.0147308946569, 5.398748759174184] and parameters: {'x': 4.006367492766769, 'y': 1.392381266407416}. \n[I 2023-11-01 05:28:32,499] Trial 93 finished with values: [51.32484182304045, 119.04541874736185, 4.61854400538042] and parameters: {'x': 2.9219809426252037, 'y': 1.6965630627552162}. \n[I 2023-11-01 05:28:32,500] Trial 94 finished with values: [74.74849328707256, 111.8777231018829, 5.199538916261984] and parameters: {'x': 3.683950936542507, 'y': 1.5155879797194771}. \n[I 2023-11-01 05:28:32,501] Trial 95 finished with values: [17.97587491271711, 145.0878033902657, 3.0233265970136003] and parameters: {'x': 0.8102064308261187, 'y': 2.2131201661874815}. \n[I 2023-11-01 05:28:32,502] Trial 96 finished with values: [55.33104657706587, 136.09633073393695, 3.7524301793447066] and parameters: {'x': 3.308794615458374, 'y': 0.44363556388633263}. \n[I 2023-11-01 05:28:32,503] Trial 97 finished with values: [0.777061821100274, 188.51237148855193, 0.5832339549037603] and parameters: {'x': 0.3506494411935901, 'y': 0.2325845137101702}. \n[I 2023-11-01 05:28:32,505] Trial 98 finished with values: [111.59887192334075, 99.78196466318296, 6.17980125175561] and parameters: {'x': 4.553290174613042, 'y': 1.6265110771425673}. \n[I 2023-11-01 05:28:32,506] Trial 99 finished with values: [109.17251096303725, 106.95948737384168, 5.772141587812521] and parameters: {'x': 4.580696102818924, 'y': 1.191445484993597}. \n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_pareto_front\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:345: ExperimentalWarning:\n\nThe ``constraints_func`` option is an experimental feature. The interface can change in the future.\n\n[I 2023-11-01 05:28:32,672] A new study created in memory with name: no-name-ecb05dba-9054-461b-9415-63eb1e3d4913\n[I 2023-11-01 05:28:32,673] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,674] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,675] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,676] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,677] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,678] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,679] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,680] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,681] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,682] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,690] Trial 10 finished with value: 6552.967716339581 and parameters: {'x': 80.95040281764867, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,697] Trial 11 finished with value: 1581.6759383724113 and parameters: {'x': 39.770289644059815, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,703] Trial 12 finished with value: 1028.2507682929152 and parameters: {'x': 32.06634946938792, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,710] Trial 13 finished with value: 9734.833587691272 and parameters: {'x': 98.6652602879619, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,717] Trial 14 finished with value: 332.07882979888785 and parameters: {'x': 18.223030203533327, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,723] Trial 15 finished with value: 566.7705064178714 and parameters: {'x': -23.806942399599983, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,730] Trial 16 finished with value: 213.03950442172285 and parameters: {'x': -14.63008900935749, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,737] Trial 17 finished with value: 642.5871135168867 and parameters: {'x': -25.34930203214453, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,743] Trial 18 finished with value: 1369.8316914198415 and parameters: {'x': -37.01123736677607, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,750] Trial 19 finished with value: 1159.004648306659 and parameters: {'x': -34.058840971275856, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,757] Trial 20 finished with value: 1281.3531888612108 and parameters: {'x': -35.79599403370733, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,764] Trial 21 finished with value: 268.4820201738229 and parameters: {'x': -16.385420964193226, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,770] Trial 22 finished with value: 274.55651795948256 and parameters: {'x': 16.569747069870516, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,779] Trial 23 finished with value: 1.5264659525593145 and parameters: {'x': -1.2355023077919824, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,786] Trial 24 finished with value: 709.8376961830695 and parameters: {'x': 26.642779438021655, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,793] Trial 25 finished with value: 747.543499314302 and parameters: {'x': -27.34124172956126, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,800] Trial 26 finished with value: 2097.0943980014476 and parameters: {'x': -45.79404325893759, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,806] Trial 27 finished with value: 2694.8946162727752 and parameters: {'x': -51.9123744041127, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,814] Trial 28 finished with value: 535.2215173103501 and parameters: {'x': -23.113232515387157, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,822] Trial 29 finished with value: 383.4698273179495 and parameters: {'x': -19.556835820703448, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 86%] reference/visualization/generated/optuna.visualization.plot_rank\n:22: ExperimentalWarning:\n\nplot_rank is experimental (supported from v3.2.0). The interface can change in the future.\n\n[I 2023-11-01 05:28:32,923] A new study created in memory with name: no-name-d4d12342-6baa-44b9-9467-4f424ed72ed8\n[I 2023-11-01 05:28:32,924] Trial 0 finished with value: 2945.5956585072327 and parameters: {'x': 54.26412865334919, 'y': 1}. Best is trial 0 with value: 2945.5956585072327.\n[I 2023-11-01 05:28:32,925] Trial 1 finished with value: 1.0891604905846555 and parameters: {'x': -0.2985975394819178, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 2 finished with value: 4380.505539213805 and parameters: {'x': -66.17783268749291, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,926] Trial 3 finished with value: 9842.692899163269 and parameters: {'x': -99.21034673441712, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,927] Trial 4 finished with value: 1967.016832371128 and parameters: {'x': 44.35106348635992, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,928] Trial 5 finished with value: 73.4009299791052 and parameters: {'x': 8.508873602252251, 'y': 1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,929] Trial 6 finished with value: 135.33518390822377 and parameters: {'x': -11.633365115400778, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,930] Trial 7 finished with value: 904.7724933170745 and parameters: {'x': 30.07943638629345, 'y': 0}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,931] Trial 8 finished with value: 6678.756311447084 and parameters: {'x': 81.72977616173364, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n[I 2023-11-01 05:28:32,932] Trial 9 finished with value: 5959.322915435635 and parameters: {'x': -77.20312762729004, 'y': -1}. Best is trial 1 with value: 1.0891604905846555.\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_slice\n[I 2023-11-01 05:28:33,051] A new study created in memory with name: no-name-a0d9e34f-4ee5-45f8-9775-74febdb5ae2d\n\u001b[2Kreading sources... [ 87%] reference/visualization/generated/optuna.visualization.plot_terminator_improvement\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,358] Trial 0 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 2.8445805576897662e-08, 'reg_lambda': 0.8280441076856032, 'num_leaves': 34, 'colsample_bytree': 0.7029929001316915, 'subsample': 0.7506613094082062, 'subsample_freq': 6, 'min_child_samples': 37}. Best is trial 0 with value: 0.9831746031746033.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,596] Trial 1 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.634639053504615, 'reg_lambda': 2.1634688176447218e-08, 'num_leaves': 233, 'colsample_bytree': 0.8408545699658505, 'subsample': 0.5314157524786646, 'subsample_freq': 1, 'min_child_samples': 27}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000039 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000038 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:33,863] Trial 2 finished with value: 0.9776190476190477 and parameters: {'reg_alpha': 0.007308121116626614, 'reg_lambda': 5.224729047469686e-07, 'num_leaves': 119, 'colsample_bytree': 0.41275807830092226, 'subsample': 0.9345329712396938, 'subsample_freq': 2, 'min_child_samples': 34}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,132] Trial 3 finished with value: 0.9774603174603176 and parameters: {'reg_alpha': 1.7346640434889673e-05, 'reg_lambda': 5.761903183048233e-06, 'num_leaves': 193, 'colsample_bytree': 0.8388545142154424, 'subsample': 0.6918916503554233, 'subsample_freq': 7, 'min_child_samples': 29}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000064 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,410] Trial 4 finished with value: 0.9831746031746033 and parameters: {'reg_alpha': 1.0079565762494025, 'reg_lambda': 2.159231033185959e-08, 'num_leaves': 239, 'colsample_bytree': 0.4652156581802465, 'subsample': 0.9890749775082771, 'subsample_freq': 6, 'min_child_samples': 40}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000105 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: 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-inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:34,737] Trial 5 finished with value: 0.9776190476190475 and parameters: {'reg_alpha': 3.991883106166551e-06, 'reg_lambda': 0.037172431445146537, 'num_leaves': 40, 'colsample_bytree': 0.9672630184934222, 'subsample': 0.5765471749916755, 'subsample_freq': 5, 'min_child_samples': 7}. Best is trial 1 with value: 0.9774603174603176.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 496\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,020] Trial 6 finished with value: 0.9771428571428571 and parameters: {'reg_alpha': 4.395192753367908, 'reg_lambda': 3.155546199281461e-05, 'num_leaves': 195, 'colsample_bytree': 0.458778057103213, 'subsample': 0.9427030722825906, 'subsample_freq': 1, 'min_child_samples': 29}. Best is trial 6 with value: 0.9771428571428571.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,120] Trial 7 finished with value: 0.32492063492063494 and parameters: {'reg_alpha': 0.4663276580194898, 'reg_lambda': 3.573236279941247e-08, 'num_leaves': 241, 'colsample_bytree': 0.7818911996104754, 'subsample': 0.547952138317193, 'subsample_freq': 5, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.459319\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000040 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 507\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:35,403] Trial 8 finished with value: 0.9609523809523809 and parameters: {'reg_alpha': 0.042663232421482934, 'reg_lambda': 4.632460606298793e-06, 'num_leaves': 162, 'colsample_bytree': 0.42086267762121243, 'subsample': 0.7244623943167505, 'subsample_freq': 2, 'min_child_samples': 52}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,482] Trial 9 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 1.896010392674244, 'reg_lambda': 5.003234224988262e-07, 'num_leaves': 170, 'colsample_bytree': 0.9264474208177167, 'subsample': 0.8415358787204077, 'subsample_freq': 7, 'min_child_samples': 93}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.803962\n[LightGBM] [Info] Start training from score -1.466337\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,622] Trial 10 finished with value: 0.3984126984126984 and parameters: {'reg_alpha': 0.004190961516347617, 'reg_lambda': 0.0007555180104206352, 'num_leaves': 97, 'colsample_bytree': 0.6376484275994792, 'subsample': 0.40867062478579874, 'subsample_freq': 4, 'min_child_samples': 88}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:35,791] Trial 11 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.00910131626571197, 'reg_lambda': 0.0006996633147431032, 'num_leaves': 92, 'colsample_bytree': 0.6143231650944936, 'subsample': 0.40466292189941194, 'subsample_freq': 4, 'min_child_samples': 95}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,309] Trial 12 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0003498039365954756, 'reg_lambda': 0.000571953116270605, 'num_leaves': 77, 'colsample_bytree': 0.6827544047768415, 'subsample': 0.4021706460447172, 'subsample_freq': 4, 'min_child_samples': 78}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000028 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 124\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 115\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.521840\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000027 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 110\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 3\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000032 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 203\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 5\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000037 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 328\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 8\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:36,628] Trial 13 finished with value: 0.39920634920634923 and parameters: {'reg_alpha': 0.08533525855987459, 'reg_lambda': 0.004398444133768183, 'num_leaves': 132, 'colsample_bytree': 0.6341466969706574, 'subsample': 0.5061356015883802, 'subsample_freq': 3, 'min_child_samples': 71}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:36,831] Trial 14 finished with value: 0.39904761904761904 and parameters: {'reg_alpha': 0.0018323304068729013, 'reg_lambda': 6.138034826935438e-05, 'num_leaves': 71, 'colsample_bytree': 0.7378043924814948, 'subsample': 0.47116091688503564, 'subsample_freq': 5, 'min_child_samples': 76}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 502\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 505\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 506\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,112] Trial 15 finished with value: 0.39841269841269844 and parameters: {'reg_alpha': 0.09663524956458044, 'reg_lambda': 0.03258883679216028, 'num_leaves': 118, 'colsample_bytree': 0.5465550101202464, 'subsample': 0.6010363838924071, 'subsample_freq': 5, 'min_child_samples': 62}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.828693\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.819710\n[LightGBM] [Info] Start training from score -1.436484\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,265] Trial 16 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 9.025980746360622, 'reg_lambda': 0.0001951229802401519, 'num_leaves': 18, 'colsample_bytree': 0.7697577273697616, 'subsample': 0.4465548892997192, 'subsample_freq': 3, 'min_child_samples': 100}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.011601\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,442] Trial 17 finished with value: 0.3311111111111111 and parameters: {'reg_alpha': 0.21413803088427572, 'reg_lambda': 2.5205024916730703, 'num_leaves': 255, 'colsample_bytree': 0.5799966193235848, 'subsample': 0.5532036308688599, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,570] Trial 18 finished with value: 0.39825396825396825 and parameters: {'reg_alpha': 0.10138260585654232, 'reg_lambda': 3.8016177012051964, 'num_leaves': 251, 'colsample_bytree': 0.5636795480407062, 'subsample': 0.6403420936368341, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000043 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 497\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.372308\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000041 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000059 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 510\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:37,873] Trial 19 finished with value: 0.3995238095238095 and parameters: {'reg_alpha': 0.36849044529719804, 'reg_lambda': 5.205764598017313, 'num_leaves': 216, 'colsample_bytree': 0.7818649101565817, 'subsample': 0.5505984260109443, 'subsample_freq': 2, 'min_child_samples': 64}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 501\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000056 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 513\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:38,146] Trial 20 finished with value: 0.3987301587301587 and parameters: {'reg_alpha': 0.42724471313720325, 'reg_lambda': 0.2652009250816974, 'num_leaves': 214, 'colsample_bytree': 0.5213595942177831, 'subsample': 0.6291186728039098, 'subsample_freq': 6, 'min_child_samples': 55}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.084626\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.225175\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,288] Trial 21 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.0788559441868605, 'reg_lambda': 4.190246425642094, 'num_leaves': 251, 'colsample_bytree': 0.5760265758427932, 'subsample': 0.6419970498733648, 'subsample_freq': 3, 'min_child_samples': 85}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.024001\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,433] Trial 22 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.3676961646365828, 'reg_lambda': 1.0137675707619425, 'num_leaves': 223, 'colsample_bytree': 0.5217473085299913, 'subsample': 0.5090922265281999, 'subsample_freq': 3, 'min_child_samples': 86}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.937493\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.043804\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.178655\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.249273\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.851971\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,567] Trial 23 finished with value: 0.3314285714285714 and parameters: {'reg_alpha': 8.106364066849663, 'reg_lambda': 6.238236883186763, 'num_leaves': 256, 'colsample_bytree': 0.5855145891572794, 'subsample': 0.6052101113801308, 'subsample_freq': 4, 'min_child_samples': 80}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -0.973861\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.868500\n[LightGBM] [Info] Start training from score -1.407497\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:38,693] Trial 24 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 3.8128795680174736, 'reg_lambda': 8.828510587202686, 'num_leaves': 192, 'colsample_bytree': 0.6677734825179531, 'subsample': 0.5706252673984643, 'subsample_freq': 4, 'min_child_samples': 73}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000042 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 500\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.218157\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 499\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.844953\n[LightGBM] [Info] Start training from score -1.429467\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 503\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.299283\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000047 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.992553\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,002] Trial 25 finished with value: 0.40015873015873016 and parameters: {'reg_alpha': 8.525880187685269, 'reg_lambda': 0.07452132648091096, 'num_leaves': 169, 'colsample_bytree': 0.5976864311288912, 'subsample': 0.5267565678036301, 'subsample_freq': 5, 'min_child_samples': 66}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.105679\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.912776\n[LightGBM] [Info] Start training from score -1.266948\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.091644\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,125] Trial 26 finished with value: 0.3988888888888889 and parameters: {'reg_alpha': 0.6767428853838785, 'reg_lambda': 0.005280221372910068, 'num_leaves': 256, 'colsample_bytree': 0.6242159615362136, 'subsample': 0.5898417880779059, 'subsample_freq': 4, 'min_child_samples': 81}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.171637\n[LightGBM] [Info] Start training from score -0.861482\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.878290\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.071024\n[LightGBM] [Info] Start training from score -1.031019\n[LightGBM] [Info] Start training from score -1.201645\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.156182\n[LightGBM] [Info] Start training from score -0.835710\n[LightGBM] [Info] Start training from score -1.379326\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,246] Trial 27 finished with value: 0.33238095238095233 and parameters: {'reg_alpha': 8.336891939481102, 'reg_lambda': 0.23006775048261074, 'num_leaves': 207, 'colsample_bytree': 0.7188298998878534, 'subsample': 0.4780811590736114, 'subsample_freq': 5, 'min_child_samples': 97}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000044 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 498\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.149165\n[LightGBM] [Info] Start training from score -0.895384\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000052 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 504\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.930475\n[LightGBM] [Info] Start training from score -1.344909\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000046 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 511\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 13\n[LightGBM] [Info] Start training from score -1.064007\n[LightGBM] [Info] Start training from score -0.966843\n[LightGBM] [Info] Start training from score -1.292265\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000048 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 509\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.134203\n[LightGBM] [Info] Start training from score -0.919793\n[LightGBM] [Info] Start training from score -1.273965\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000045 seconds.\nYou can set `force_col_wise=true` to remove the overhead.\n[LightGBM] [Info] Total Bins 508\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 13\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.885307\n[LightGBM] [Info] Start training from score -1.351927\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[I 2023-11-01 05:28:39,570] Trial 28 finished with value: 0.3985714285714286 and parameters: {'reg_alpha': 0.020625905545190178, 'reg_lambda': 0.9425393829516836, 'num_leaves': 234, 'colsample_bytree': 0.678425255536722, 'subsample': 0.5353067838658269, 'subsample_freq': 4, 'min_child_samples': 54}. Best is trial 7 with value: 0.32492063492063494.\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.242255\n[LightGBM] [Info] Start training from score -0.812692\n[LightGBM] [Info] Start training from score -1.318241\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.004583\n[LightGBM] [Info] Start training from score -0.948494\n[LightGBM] [Info] Start training from score -1.400479\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 142, number of used features: 0\n[LightGBM] [Info] Start training from score -1.127186\n[LightGBM] [Info] Start training from score -0.985535\n[LightGBM] [Info] Start training from score -1.194627\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.050822\n[LightGBM] [Info] Start training from score -0.955511\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] There are no meaningful features which satisfy the provided configuration. Decreasing Dataset parameters min_data_in_bin or min_data_in_leaf and re-constructing Dataset might resolve this warning.\n[LightGBM] [Info] Total Bins 0\n[LightGBM] [Info] Number of data points in the train set: 143, number of used features: 0\n[LightGBM] [Info] Start training from score -1.112697\n[LightGBM] [Info] Start training from score -0.902402\n[LightGBM] [Info] Start training from score -1.325258\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[I 2023-11-01 05:28:39,694] Trial 29 finished with value: 0.399047619047619 and parameters: {'reg_alpha': 0.26292458429882964, 'reg_lambda': 1.1672007267249114, 'num_leaves': 144, 'colsample_bytree': 0.5826999400250936, 'subsample': 0.6771783143923514, 'subsample_freq': 6, 'min_child_samples': 89}. Best is trial 7 with value: 0.32492063492063494.\n:29: ExperimentalWarning:\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\nplot_terminator_improvement is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:129: ExperimentalWarning:\n\nRegretBoundEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/visualization/_terminator_improvement.py:131: ExperimentalWarning:\n\nCrossValidationErrorEvaluator is experimental (supported from v3.2.0). The interface can change in the future.\n\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements\n\n 0%| | 0/30 [00:00\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,125] Trial 1 failed with value None.\n[I 2023-11-01 05:29:28,141] Trial 3 finished with value: 0.09651297324202336 and parameters: {'x': 0.3106653718102862}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,155] Trial 4 finished with value: 0.08136725412483768 and parameters: {'x': 0.2852494594645846}. Best is trial 0 with value: 0.07003918157893887.\n[I 2023-11-01 05:29:28,211] Trial 6 pruned. \n[W 2023-11-01 05:29:28,226] Trial 5 failed with parameters: {'x': 0.8393788040877971} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[I 2023-11-01 05:29:28,227] Trial 7 finished with value: 0.01885445062185593 and parameters: {'x': 0.13731150942967574}. Best is trial 7 with value: 0.01885445062185593.\n[W 2023-11-01 05:29:28,229] Trial 5 failed with value None.\n[W 2023-11-01 05:29:28,322] Trial 9 failed with parameters: {'x': 0.9031138037515429} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,323] Trial 9 failed with value None.\n[W 2023-11-01 05:29:28,325] Trial 8 failed with parameters: {'x': 0.9417391172477223} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,327] Trial 8 failed with value None.\n[I 2023-11-01 05:29:28,394] Trial 11 pruned. \n[I 2023-11-01 05:29:28,396] Trial 10 pruned. \n[I 2023-11-01 05:29:28,415] Trial 13 finished with value: 0.028902039068427553 and parameters: {'x': 0.1700059971542991}. Best is trial 7 with value: 0.01885445062185593.\n[I 2023-11-01 05:29:28,476] Trial 14 pruned. \n[I 2023-11-01 05:29:28,483] Trial 15 finished with value: 9.903806189091457e-06 and parameters: {'x': 0.0031470313295376418}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,490] Trial 16 finished with value: 0.0001811272875856004 and parameters: {'x': 0.013458353821534059}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,496] Trial 12 failed with parameters: {'x': 0.9646596137111627} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,497] Trial 12 failed with value None.\n[I 2023-11-01 05:29:28,503] Trial 17 finished with value: 0.005266269642047962 and parameters: {'x': 0.0725690680803327}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:28,511] Trial 18 finished with value: 0.0002959392298832095 and parameters: {'x': 0.017202884347783352}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,605] Trial 20 failed with parameters: {'x': 0.8774184662529757} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,606] Trial 20 failed with value None.\n[W 2023-11-01 05:29:28,612] Trial 19 failed with parameters: {'x': 0.9729343895403902} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,614] Trial 19 failed with value None.\n[I 2023-11-01 05:29:28,614] Trial 21 finished with value: 0.00011605395625238281 and parameters: {'x': 0.010772834179192716}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:28,716] Trial 22 failed with parameters: {'x': 0.9245969553253705} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,716] Trial 23 failed with parameters: {'x': 0.8907861889534648} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,719] Trial 23 failed with value None.\n[W 2023-11-01 05:29:28,718] Trial 22 failed with value None.\n[I 2023-11-01 05:29:28,777] Trial 25 pruned. \n[W 2023-11-01 05:29:28,811] Trial 24 failed with parameters: {'x': 0.8297416910695854} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,812] Trial 24 failed with value None.\n[W 2023-11-01 05:29:28,872] Trial 26 failed with parameters: {'x': 0.8771675436529752} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,874] Trial 26 failed with value None.\n[W 2023-11-01 05:29:28,913] Trial 27 failed with parameters: {'x': 0.9567346000382179} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,914] Trial 27 failed with value None.\n[W 2023-11-01 05:29:28,976] Trial 28 failed with parameters: {'x': 0.9539796013524156} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:28,977] Trial 28 failed with value None.\n[W 2023-11-01 05:29:29,004] Trial 29 failed with parameters: {'x': 0.8395749667466484} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,005] Trial 29 failed with value None.\n[W 2023-11-01 05:29:29,067] Trial 30 failed with parameters: {'x': 0.8280926077423015} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,068] Trial 30 failed with value None.\n[W 2023-11-01 05:29:29,098] Trial 31 failed with parameters: {'x': 0.8799080865537525} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,099] Trial 31 failed with value None.\n[W 2023-11-01 05:29:29,160] Trial 32 failed with parameters: {'x': 0.856937291814868} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,161] Trial 32 failed with value None.\n[W 2023-11-01 05:29:29,193] Trial 33 failed with parameters: {'x': 0.8464380540724806} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,194] Trial 33 failed with value None.\n[I 2023-11-01 05:29:29,217] Trial 35 finished with value: 0.030300040090470808 and parameters: {'x': 0.17406906701212255}. Best is trial 15 with value: 9.903806189091457e-06.\n[I 2023-11-01 05:29:29,224] Trial 36 finished with value: 0.00021326872193431514 and parameters: {'x': 0.01460372287926319}. Best is trial 15 with value: 9.903806189091457e-06.\n[W 2023-11-01 05:29:29,257] Trial 34 failed with parameters: {'x': 0.8854930912581905} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,258] Trial 34 failed with value None.\n[W 2023-11-01 05:29:29,317] Trial 37 failed with parameters: {'x': 0.866818763390184} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,318] Trial 37 failed with value None.\n[W 2023-11-01 05:29:29,346] Trial 38 failed with parameters: {'x': 0.819393135373528} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,347] Trial 38 failed with value None.\n[W 2023-11-01 05:29:29,408] Trial 39 failed with parameters: {'x': 0.8408205789965458} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,409] Trial 39 failed with value None.\n[W 2023-11-01 05:29:29,449] Trial 40 failed with parameters: {'x': 0.9656709719875146} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,451] Trial 40 failed with value None.\n[W 2023-11-01 05:29:29,507] Trial 41 failed with parameters: {'x': 0.9116260944828029} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,509] Trial 41 failed with value None.\n[W 2023-11-01 05:29:29,540] Trial 42 failed with parameters: {'x': 0.8301841815412819} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,542] Trial 42 failed with value None.\n[W 2023-11-01 05:29:29,601] Trial 43 failed with parameters: {'x': 0.8545418840583909} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,602] Trial 43 failed with value None.\n[W 2023-11-01 05:29:29,635] Trial 44 failed with parameters: {'x': 0.8718551800978102} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,636] Trial 44 failed with value None.\n[W 2023-11-01 05:29:29,694] Trial 45 failed with parameters: {'x': 0.8481533767119213} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,695] Trial 45 failed with value None.\n[W 2023-11-01 05:29:29,732] Trial 46 failed with parameters: {'x': 0.8924918201658735} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,733] Trial 46 failed with value None.\n[W 2023-11-01 05:29:29,799] Trial 47 failed with parameters: {'x': 0.9647724789607142} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,800] Trial 47 failed with value None.\n[W 2023-11-01 05:29:29,825] Trial 48 failed with parameters: {'x': 0.8591374724474415} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,826] Trial 48 failed with value None.\n[W 2023-11-01 05:29:29,888] Trial 49 failed with parameters: {'x': 0.8115810797577248} because of the following error: ValueError().\nTraceback (most recent call last):\n File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/study/_optimize.py\", line 200, in _run_trial\n value_or_values = func(trial)\n File \"\", line 10, in objective\nValueError\n[W 2023-11-01 05:29:29,889] Trial 49 failed with value None.\n\u001b[2Kreading sources... [ 88%] reference/visualization/generated/optuna.visualization.plot_timeline\n\u001b[2Kreading sources... [ 88%] reference/visualization/index\n\u001b[2Kreading sources... [ 89%] reference/visualization/matplotlib\n\u001b[2Kreading sources... [ 89%] tutorial/10_key_features/001_first\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/002_configurations\n\u001b[2Kreading sources... [ 90%] tutorial/10_key_features/003_efficient_optimization_algorithms\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/004_distributed\n\u001b[2Kreading sources... [ 91%] tutorial/10_key_features/005_visualization\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/index\n\u001b[2Kreading sources... [ 92%] tutorial/10_key_features/sg_execution_times\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/001_rdb\n\u001b[2Kreading sources... [ 93%] tutorial/20_recipes/002_multi_objective\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/003_attributes\n\u001b[2Kreading sources... [ 94%] tutorial/20_recipes/004_cli\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/005_user_defined_sampler\n\u001b[2Kreading sources... [ 95%] tutorial/20_recipes/006_user_defined_pruner\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/007_optuna_callback\n\u001b[2Kreading sources... [ 96%] tutorial/20_recipes/008_specify_params\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/009_ask_and_tell\n\u001b[2Kreading sources... [ 97%] tutorial/20_recipes/010_reuse_best_trial\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/011_journal_storage\n\u001b[2Kreading sources... [ 98%] tutorial/20_recipes/012_artifact_tutorial\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/index\n\u001b[2Kreading sources... [ 99%] tutorial/20_recipes/sg_execution_times\n\u001b[2Kreading sources... [100%] tutorial/index\n:21: ExperimentalWarning:\n\nplot_timeline is experimental (supported from v3.2.0). The interface can change in the future.\n\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:22: ERROR: Unexpected indentation.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:20: WARNING: Inline interpreted text or phrase reference start-string without end-string.\n/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/optuna/samplers/_tpe/sampler.py:docstring of optuna.samplers._tpe.sampler.TPESampler:23: WARNING: Block quote ends without a blank line; unexpected unindent.\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\ncopying assets... \u001b[2Kcopying downloadable files... [ 3%] tutorial/10_key_features/001_first.py\n\u001b[2Kcopying downloadable files... 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[100%] 012_artifact_tutorial.html\nbuild finished with problems, 3 warnings.\nmake: *** [Makefile:20: html] Error 1\n##[error]Process completed with exit code 2.\n"}], "diff": "diff --git a/optuna/samplers/_tpe/sampler.py b/optuna/samplers/_tpe/sampler.py\nindex bc9176c10..5ada7848e 100644\n--- a/optuna/samplers/_tpe/sampler.py\n+++ b/optuna/samplers/_tpe/sampler.py\n@@ -78,6 +78,7 @@ class TPESampler(BaseSampler):\n Better Empirical Performance `_\n \n For multi-objective TPE (MOTPE), please refer to the following papers:\n+\n - `Multiobjective Tree-Structured Parzen Estimator for Computationally Expensive Optimization\n Problems `_\n - `Multiobjective Tree-Structured Parzen Estimator `_\n@@ -101,7 +102,7 @@ class TPESampler(BaseSampler):\n \n .. note::\n For `v2.9.0 `_ or later,\n- MOTPESampler is deprecated and TPESampler should be used instead.\n+ :class:`~optuna.samplers.MOTPESampler` is deprecated and TPESampler should be used instead.\n The following code shows how you run TPESampler on a multi-objective task:\n \n .. testcode::\n", "difficulty": 0, "changed_files": ["optuna/samplers/_tpe/sampler.py"], "commit_link": "https://github.com/optuna/optuna/tree/0b08b8e82f8e67d89dd4335e63ecd95ab6f5f048"} \ No newline at end of file