trainer: training complete at 2024-03-04 17:22:13.829627.

README.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[40%:60%]
+      split: train[60%:80%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9167463229625975
+      value: 0.9235019241341397
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +32,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7657
-- Claim: {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0}
-- Majorclaim: {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}
-- O: {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}
-- Premise: {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0}
-- Accuracy: 0.9167
-- Macro avg: {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0}
-- Weighted avg: {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0}
+- Loss: 0.7415
+- Claim: {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}
+- Majorclaim: {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0}
+- O: {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}
+- Premise: {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0}
+- Accuracy: 0.9235
+- Macro avg: {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}
+- Weighted avg: {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0}
 
 ## Model description
 
@@ -70,56 +70,56 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.3158          | {'precision': 0.6002889477486154, 'recall': 0.5470704410796576, 'f1-score': 0.5724454649827784, 'support': 4557.0} | {'precision': 0.698526892771497, 'recall': 0.8986337593653592, 'f1-score': 0.7860447185813415, 'support': 2269.0}  | {'precision': 0.9975671292124707, 'recall': 1.0, 'f1-score': 0.9987820830889982, 'support': 11071.0}                | {'precision': 0.9051258677512096, 'recall': 0.8881243979633962, 'f1-score': 0.8965445389824622, 'support': 14534.0} | 0.8791   | {'precision': 0.8003772093709481, 'recall': 0.8334571496021033, 'f1-score': 0.8134542014088951, 'support': 32431.0} | {'precision': 0.8793943851252293, 'recall': 0.8791279948197712, 'f1-score': 0.8781740995293698, 'support': 32431.0} |
-| No log        | 2.0   | 162  | 0.2445          | {'precision': 0.680108254397835, 'recall': 0.5514592933947773, 'f1-score': 0.6090644692195831, 'support': 4557.0}  | {'precision': 0.8960229995208433, 'recall': 0.8241516086381666, 'f1-score': 0.8585858585858586, 'support': 2269.0} | {'precision': 0.9992776523702032, 'recall': 0.9996386956914461, 'f1-score': 0.999458141425088, 'support': 11071.0}  | {'precision': 0.8801849235905997, 'recall': 0.9431677445988716, 'f1-score': 0.9105885478942475, 'support': 14534.0} | 0.8991   | {'precision': 0.8638984574698704, 'recall': 0.8296043355808155, 'f1-score': 0.8444242542811943, 'support': 32431.0} | {'precision': 0.8938342965082798, 'recall': 0.8990780426135487, 'f1-score': 0.8949194640367888, 'support': 32431.0} |
-| No log        | 3.0   | 243  | 0.2267          | {'precision': 0.7079713847726111, 'recall': 0.60807548825982, 'f1-score': 0.6542320859402667, 'support': 4557.0}   | {'precision': 0.8866608544027899, 'recall': 0.8964301454385192, 'f1-score': 0.8915187376725839, 'support': 2269.0} | {'precision': 0.9992778479870013, 'recall': 0.9999096739228616, 'f1-score': 0.9995936611133684, 'support': 11071.0} | {'precision': 0.8973258501155497, 'recall': 0.935048850970139, 'f1-score': 0.9157990498332153, 'support': 14534.0}  | 0.9085   | {'precision': 0.872808984319488, 'recall': 0.8598660396478349, 'f1-score': 0.8652858836398586, 'support': 32431.0}  | {'precision': 0.9047762338408377, 'recall': 0.9085442940396534, 'f1-score': 0.9059516032151627, 'support': 32431.0} |
-| No log        | 4.0   | 324  | 0.2452          | {'precision': 0.6424741478360781, 'recall': 0.7362299758613122, 'f1-score': 0.6861642294713161, 'support': 4557.0} | {'precision': 0.9155636695572797, 'recall': 0.884089907448215, 'f1-score': 0.8995515695067264, 'support': 2269.0}  | {'precision': 0.9990941208442794, 'recall': 0.9962063047601842, 'f1-score': 0.9976481230212574, 'support': 11071.0} | {'precision': 0.9242435081193219, 'recall': 0.8889500481629283, 'f1-score': 0.9062532879739067, 'support': 14534.0} | 0.9038   | {'precision': 0.8703438615892398, 'recall': 0.8763690590581599, 'f1-score': 0.8724043024933017, 'support': 32431.0} | {'precision': 0.9095955973231696, 'recall': 0.9037649162838025, 'f1-score': 0.9060584182508294, 'support': 32431.0} |
-| No log        | 5.0   | 405  | 0.2841          | {'precision': 0.7332272606735614, 'recall': 0.6067588325652842, 'f1-score': 0.6640249759846301, 'support': 4557.0} | {'precision': 0.8794079233783195, 'recall': 0.8902600264433671, 'f1-score': 0.8848007008322383, 'support': 2269.0} | {'precision': 0.9992775219001174, 'recall': 0.9994580435371692, 'f1-score': 0.999367774566474, 'support': 11071.0}  | {'precision': 0.8973839110529758, 'recall': 0.9440621989816981, 'f1-score': 0.9201314377682404, 'support': 14534.0} | 0.9118   | {'precision': 0.8773241542512435, 'recall': 0.8601347753818797, 'f1-score': 0.8670812222878956, 'support': 32431.0} | {'precision': 0.9078434958291443, 'recall': 0.9118127717307515, 'f1-score': 0.9087220731552942, 'support': 32431.0} |
-| No log        | 6.0   | 486  | 0.3082          | {'precision': 0.7484258729250143, 'recall': 0.5738424402018872, 'f1-score': 0.6496087442553721, 'support': 4557.0} | {'precision': 0.8711186729051468, 'recall': 0.9026002644336713, 'f1-score': 0.8865800865800866, 'support': 2269.0} | {'precision': 0.9994572100597069, 'recall': 0.9979225002258152, 'f1-score': 0.9986892655367232, 'support': 11071.0} | {'precision': 0.889647180015452, 'recall': 0.9507362047612495, 'f1-score': 0.9191778088205947, 'support': 14534.0}  | 0.9105   | {'precision': 0.87716223397633, 'recall': 0.8562753524056559, 'f1-score': 0.8635139762981943, 'support': 32431.0}   | {'precision': 0.9059932736781678, 'recall': 0.9105177145323918, 'f1-score': 0.9061618943658084, 'support': 32431.0} |
-| 0.2223        | 7.0   | 567  | 0.3512          | {'precision': 0.629950495049505, 'recall': 0.7818740399385561, 'f1-score': 0.6977381768334475, 'support': 4557.0}  | {'precision': 0.8621688741721855, 'recall': 0.9180255619215514, 'f1-score': 0.8892209178228387, 'support': 2269.0} | {'precision': 0.9998190045248869, 'recall': 0.9979225002258152, 'f1-score': 0.9988698521766648, 'support': 11071.0} | {'precision': 0.9449996243143738, 'recall': 0.8653502132929682, 'f1-score': 0.9034227633516503, 'support': 14534.0} | 0.9026   | {'precision': 0.8592344995152377, 'recall': 0.8907930788447227, 'f1-score': 0.8723129275461503, 'support': 32431.0} | {'precision': 0.9136494810618672, 'recall': 0.9025623631710401, 'f1-score': 0.9061105026169647, 'support': 32431.0} |
-| 0.2223        | 8.0   | 648  | 0.3706          | {'precision': 0.6177710335525206, 'recall': 0.80403774412991, 'f1-score': 0.6987032799389779, 'support': 4557.0}   | {'precision': 0.8856292517006803, 'recall': 0.9180255619215514, 'f1-score': 0.9015364639688379, 'support': 2269.0} | {'precision': 0.9994574554661362, 'recall': 0.9983741306115076, 'f1-score': 0.998915499322187, 'support': 11071.0}  | {'precision': 0.9472075788830315, 'recall': 0.8530342644832806, 'f1-score': 0.8976577489773016, 'support': 14534.0} | 0.9003   | {'precision': 0.8625163299005921, 'recall': 0.8933679252865624, 'f1-score': 0.8742032480518261, 'support': 32431.0} | {'precision': 0.9144455555782818, 'recall': 0.9003114304215103, 'f1-score': 0.9045397397569994, 'support': 32431.0} |
-| 0.2223        | 9.0   | 729  | 0.4183          | {'precision': 0.7278645833333334, 'recall': 0.6133421110379635, 'f1-score': 0.6657139454567107, 'support': 4557.0} | {'precision': 0.8884479717813051, 'recall': 0.8880564125165271, 'f1-score': 0.8882521489971346, 'support': 2269.0} | {'precision': 0.9999094612947035, 'recall': 0.9975611959172613, 'f1-score': 0.9987339482727438, 'support': 11071.0} | {'precision': 0.8955360649299646, 'recall': 0.9413788358332187, 'f1-score': 0.9178854152690192, 'support': 14534.0} | 0.9107   | {'precision': 0.8779395203348266, 'recall': 0.8600846388262426, 'f1-score': 0.8676463644989021, 'support': 32431.0} | {'precision': 0.9071100542045434, 'recall': 0.9107335573987851, 'f1-score': 0.9079779452489347, 'support': 32431.0} |
-| 0.2223        | 10.0  | 810  | 0.5459          | {'precision': 0.6964871194379391, 'recall': 0.652622339258284, 'f1-score': 0.6738416222952305, 'support': 4557.0}  | {'precision': 0.8557073954983923, 'recall': 0.9382988100484795, 'f1-score': 0.8951019550136641, 'support': 2269.0} | {'precision': 0.9996382054992764, 'recall': 0.998283804534369, 'f1-score': 0.9989605459393501, 'support': 11071.0}  | {'precision': 0.9083259218717931, 'recall': 0.9135131415990092, 'f1-score': 0.9109121470961545, 'support': 14534.0} | 0.9075   | {'precision': 0.8650396605768502, 'recall': 0.8756795238600354, 'f1-score': 0.8697040675860997, 'support': 32431.0} | {'precision': 0.9060496255197702, 'recall': 0.9075267490980852, 'f1-score': 0.9065515080853328, 'support': 32431.0} |
-| 0.2223        | 11.0  | 891  | 0.5727          | {'precision': 0.7070834383665239, 'recall': 0.6155365371955234, 'f1-score': 0.6581417175035196, 'support': 4557.0} | {'precision': 0.876414273281114, 'recall': 0.8876156897311591, 'f1-score': 0.881979417560762, 'support': 2269.0}   | {'precision': 0.9999096820809249, 'recall': 1.0, 'f1-score': 0.9999548390010388, 'support': 11071.0}                | {'precision': 0.9002915065588976, 'recall': 0.9349800467868447, 'f1-score': 0.9173079519373565, 'support': 14534.0} | 0.9090   | {'precision': 0.8709247250718651, 'recall': 0.8595330684283817, 'f1-score': 0.8643459815006692, 'support': 32431.0} | {'precision': 0.9054793272287636, 'recall': 0.9089759797724399, 'f1-score': 0.9066330640790278, 'support': 32431.0} |
-| 0.2223        | 12.0  | 972  | 0.5661          | {'precision': 0.7407673860911271, 'recall': 0.6778582400702217, 'f1-score': 0.7079179557694512, 'support': 4557.0} | {'precision': 0.8644207066557108, 'recall': 0.9272807404142794, 'f1-score': 0.8947480331703169, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9169374492282697, 'recall': 0.9319526627218935, 'f1-score': 0.9243840851702722, 'support': 14534.0} | 0.9186   | {'precision': 0.8805087712920582, 'recall': 0.8838890249737601, 'f1-score': 0.8815591378893468, 'support': 32431.0} | {'precision': 0.9168331226787283, 'recall': 0.9186272393697388, 'f1-score': 0.917429533390557, 'support': 32431.0}  |
-| 0.0294        | 13.0  | 1053 | 0.5764          | {'precision': 0.7221943887775552, 'recall': 0.6326530612244898, 'f1-score': 0.6744648496900223, 'support': 4557.0} | {'precision': 0.863672814755413, 'recall': 0.9493168796826796, 'f1-score': 0.9044719714465672, 'support': 2269.0}  | {'precision': 0.9999096167751266, 'recall': 0.9992773913828923, 'f1-score': 0.9995934041111363, 'support': 11071.0} | {'precision': 0.9055171023452725, 'recall': 0.9271363698912893, 'f1-score': 0.9161992180860105, 'support': 14534.0} | 0.9119   | {'precision': 0.8728234806633418, 'recall': 0.8770959255453377, 'f1-score': 0.8736823608334341, 'support': 32431.0} | {'precision': 0.909053016531805, 'recall': 0.9119361105115475, 'f1-score': 0.9098800911419986, 'support': 32431.0}  |
-| 0.0294        | 14.0  | 1134 | 0.5469          | {'precision': 0.6923565530383231, 'recall': 0.717577353522054, 'f1-score': 0.7047413793103449, 'support': 4557.0}  | {'precision': 0.8737864077669902, 'recall': 0.9519612163948876, 'f1-score': 0.9112001687407719, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9258919757439007, 'recall': 0.903467730838035, 'f1-score': 0.9145424153781864, 'support': 14534.0}  | 0.9132   | {'precision': 0.8730087341373035, 'recall': 0.8928676893609057, 'f1-score': 0.8824289004618456, 'support': 32431.0} | {'precision': 0.9147298617643856, 'recall': 0.9131694983195091, 'f1-score': 0.9137390947680665, 'support': 32431.0} |
-| 0.0294        | 15.0  | 1215 | 0.6552          | {'precision': 0.7559304164470216, 'recall': 0.6293614219881501, 'f1-score': 0.6868638486408813, 'support': 4557.0} | {'precision': 0.8822055137844611, 'recall': 0.9308065226972234, 'f1-score': 0.9058546000428909, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9023924075660713, 'recall': 0.9420668776661622, 'f1-score': 0.9218029420675262, 'support': 14534.0} | 0.9171   | {'precision': 0.8851320844493885, 'recall': 0.8755361240685993, 'f1-score': 0.8786190564182342, 'support': 32431.0} | {'precision': 0.9137205288178378, 'recall': 0.9170855046097869, 'f1-score': 0.9143537536055225, 'support': 32431.0} |
-| 0.0294        | 16.0  | 1296 | 0.6048          | {'precision': 0.6899071696622556, 'recall': 0.7665130568356375, 'f1-score': 0.7261954261954263, 'support': 4557.0} | {'precision': 0.9050522648083623, 'recall': 0.9158219479947113, 'f1-score': 0.9104052573932091, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9360805599200114, 'recall': 0.9018164304389706, 'f1-score': 0.9186291000841041, 'support': 14534.0} | 0.9173   | {'precision': 0.8827599985976573, 'recall': 0.8960152772980452, 'f1-score': 0.8887961546485946, 'support': 32431.0} | {'precision': 0.92113920073012, 'recall': 0.9172705127809812, 'f1-score': 0.918776399254959, 'support': 32431.0}    |
-| 0.0294        | 17.0  | 1377 | 0.6666          | {'precision': 0.7134071340713407, 'recall': 0.6363835856923414, 'f1-score': 0.6726977499420088, 'support': 4557.0} | {'precision': 0.9003542958370239, 'recall': 0.8959894226531512, 'f1-score': 0.898166556218246, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9018486500864477, 'recall': 0.9331223338378973, 'f1-score': 0.9172189909373732, 'support': 14534.0} | 0.9116   | {'precision': 0.8789025199987031, 'recall': 0.8663512540265629, 'f1-score': 0.8720095330048165, 'support': 32431.0} | {'precision': 0.9087714991080675, 'recall': 0.9116277635595572, 'f1-score': 0.9097710324765249, 'support': 32431.0} |
-| 0.0294        | 18.0  | 1458 | 0.5898          | {'precision': 0.7184193478730296, 'recall': 0.7300855826201448, 'f1-score': 0.7242054854157598, 'support': 4557.0} | {'precision': 0.8937867338371117, 'recall': 0.9382988100484795, 'f1-score': 0.91550204257149, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9277948146083078, 'recall': 0.9159212880143113, 'f1-score': 0.9218198185721211, 'support': 14534.0} | 0.9200   | {'precision': 0.8850002240796123, 'recall': 0.8960538386514494, 'f1-score': 0.8903705453702524, 'support': 32431.0} | {'precision': 0.9206441029524512, 'recall': 0.9200456353488946, 'f1-score': 0.9202833015380038, 'support': 32431.0} |
-| 0.0093        | 19.0  | 1539 | 0.6108          | {'precision': 0.7151830192765866, 'recall': 0.7245995172262454, 'f1-score': 0.7198604752561586, 'support': 4557.0} | {'precision': 0.860223642172524, 'recall': 0.9493168796826796, 'f1-score': 0.9025769956002515, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9950320657573841, 'f1-score': 0.9975098474215601, 'support': 11071.0}                | {'precision': 0.9289911851126347, 'recall': 0.9136507499655979, 'f1-score': 0.9212571111419453, 'support': 14534.0} | 0.9174   | {'precision': 0.8760994616404363, 'recall': 0.8956498031579767, 'f1-score': 0.8853011073549788, 'support': 32431.0} | {'precision': 0.9183773040411919, 'recall': 0.9173630168665783, 'f1-score': 0.9176816552958715, 'support': 32431.0} |
-| 0.0093        | 20.0  | 1620 | 0.6274          | {'precision': 0.7018174133558749, 'recall': 0.7287689269256089, 'f1-score': 0.7150392937883518, 'support': 4557.0} | {'precision': 0.8899003034243607, 'recall': 0.9048038783605112, 'f1-score': 0.8972902097902098, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9266285395452644, 'recall': 0.9141323792486583, 'f1-score': 0.9203380437794403, 'support': 14534.0} | 0.9162   | {'precision': 0.879586564081375, 'recall': 0.886542410305856, 'f1-score': 0.8829747964440202, 'support': 32431.0}   | {'precision': 0.9175167258142971, 'recall': 0.9162221331442139, 'f1-score': 0.9168102169228345, 'support': 32431.0} |
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-| 0.0012        | 41.0  | 3321 | 0.8042          | {'precision': 0.7228620436167607, 'recall': 0.6473557164801405, 'f1-score': 0.6830284788145403, 'support': 4557.0} | {'precision': 0.9088078291814946, 'recall': 0.9003966505068312, 'f1-score': 0.9045826876245294, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9038717402873869, 'recall': 0.9348424384202559, 'f1-score': 0.9190962592166678, 'support': 14534.0} | 0.9142   | {'precision': 0.8838854032714106, 'recall': 0.8706261198325222, 'f1-score': 0.876665565144344, 'support': 32431.0}  | {'precision': 0.911598136675134, 'recall': 0.9142487126514754, 'f1-score': 0.9125128397228092, 'support': 32431.0}  |
-| 0.0012        | 42.0  | 3402 | 0.7728          | {'precision': 0.6918211559432933, 'recall': 0.696071977177968, 'f1-score': 0.6939400568803326, 'support': 4557.0}  | {'precision': 0.8922808547754034, 'recall': 0.9017188188629353, 'f1-score': 0.8969750109601051, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9183870745011393, 'recall': 0.9151644419980735, 'f1-score': 0.9167729262156668, 'support': 14534.0} | 0.9124   | {'precision': 0.8756222713049591, 'recall': 0.8782162279904596, 'f1-score': 0.8769107072444358, 'support': 32431.0} | {'precision': 0.9125852427590434, 'recall': 0.9123677962443342, 'f1-score': 0.9124725980114123, 'support': 32431.0} |
-| 0.0012        | 43.0  | 3483 | 0.7433          | {'precision': 0.7181797702185176, 'recall': 0.6995830590300637, 'f1-score': 0.7087594486438418, 'support': 4557.0} | {'precision': 0.9005281690140845, 'recall': 0.9017188188629353, 'f1-score': 0.9011231006386258, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9189078498293516, 'recall': 0.9262419155084629, 'f1-score': 0.9225603070175438, 'support': 14534.0} | 0.9178   | {'precision': 0.8844039472654884, 'recall': 0.8818633668310809, 'f1-score': 0.8830994228054124, 'support': 32431.0} | {'precision': 0.9170993900218476, 'recall': 0.9178255372945638, 'f1-score': 0.9174387654537162, 'support': 32431.0} |
-| 0.0009        | 44.0  | 3564 | 0.7703          | {'precision': 0.7382999044890163, 'recall': 0.6785165679174896, 'f1-score': 0.7071469411092054, 'support': 4557.0} | {'precision': 0.9092534644613322, 'recall': 0.8964301454385192, 'f1-score': 0.9027962716378164, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9130289234065345, 'recall': 0.9382826475849732, 'f1-score': 0.9254835425856802, 'support': 14534.0} | 0.9199   | {'precision': 0.8901455730892207, 'recall': 0.8782847587159609, 'f1-score': 0.8838453975635852, 'support': 32431.0} | {'precision': 0.9179023510964751, 'recall': 0.9198914618728994, 'f1-score': 0.9186392999395205, 'support': 32431.0} |
-| 0.0009        | 45.0  | 3645 | 0.7518          | {'precision': 0.7160072760345612, 'recall': 0.6910247970155804, 'f1-score': 0.7032942490228922, 'support': 4557.0} | {'precision': 0.8929503916449086, 'recall': 0.9043631555751432, 'f1-score': 0.8986205386468141, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9174224343675418, 'recall': 0.9256914820421082, 'f1-score': 0.9215384088496181, 'support': 14534.0} | 0.9166   | {'precision': 0.8815950255117528, 'recall': 0.8802472771389234, 'f1-score': 0.8808520078602406, 'support': 32431.0} | {'precision': 0.9155982626693486, 'recall': 0.9165613147914032, 'f1-score': 0.9160377757893605, 'support': 32431.0} |
-| 0.0009        | 46.0  | 3726 | 0.7502          | {'precision': 0.7151016678090016, 'recall': 0.6868553873162168, 'f1-score': 0.7006939780613387, 'support': 4557.0} | {'precision': 0.8867761452031115, 'recall': 0.9043631555751432, 'f1-score': 0.8954833078769365, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9994580435371692, 'f1-score': 0.9997289483194796, 'support': 11071.0}                | {'precision': 0.9169335604770017, 'recall': 0.9258290904086969, 'f1-score': 0.9213598548392617, 'support': 14534.0} | 0.9159   | {'precision': 0.8797028433722787, 'recall': 0.8791264192093065, 'f1-score': 0.8793165222742542, 'support': 32431.0} | {'precision': 0.9148199482484113, 'recall': 0.9158829514970245, 'f1-score': 0.9152957787511048, 'support': 32431.0} |
-| 0.0009        | 47.0  | 3807 | 0.7463          | {'precision': 0.7113035753941817, 'recall': 0.7028746982664034, 'f1-score': 0.7070640176600441, 'support': 4557.0} | {'precision': 0.8820490744726647, 'recall': 0.9030409872190392, 'f1-score': 0.8924216027874564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | {'precision': 0.9212100378136817, 'recall': 0.9219072519609193, 'f1-score': 0.921558513016266, 'support': 14534.0}  | 0.9161   | {'precision': 0.8786406719201321, 'recall': 0.8817073376494596, 'f1-score': 0.8801367732782818, 'support': 32431.0} | {'precision': 0.9158720493550557, 'recall': 0.9161296290586167, 'f1-score': 0.9159885307162297, 'support': 32431.0} |
-| 0.0009        | 48.0  | 3888 | 0.7590          | {'precision': 0.7180132753490501, 'recall': 0.6883914856265086, 'f1-score': 0.702890432444544, 'support': 4557.0}  | {'precision': 0.8880726015557476, 'recall': 0.9056853239312472, 'f1-score': 0.8967924939995635, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9997290217685846, 'f1-score': 0.9998644925245043, 'support': 11071.0}                | {'precision': 0.9176430517711172, 'recall': 0.926861153158112, 'f1-score': 0.9222290682549462, 'support': 14534.0}  | 0.9167   | {'precision': 0.8809322321689788, 'recall': 0.8801667461211131, 'f1-score': 0.8804441218058895, 'support': 32431.0} | {'precision': 0.9156377337466323, 'recall': 0.9167463229625975, 'f1-score': 0.916131816604205, 'support': 32431.0}  |
-| 0.0009        | 49.0  | 3969 | 0.7620          | {'precision': 0.7186425131850493, 'recall': 0.6877331577792407, 'f1-score': 0.7028481722359273, 'support': 4557.0} | {'precision': 0.8884083044982699, 'recall': 0.9052446011458792, 'f1-score': 0.8967474350578476, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.917489277690789, 'recall': 0.927273978257878, 'f1-score': 0.9223556787461931, 'support': 14534.0}   | 0.9168   | {'precision': 0.8811350238435272, 'recall': 0.8800177712571802, 'f1-score': 0.8804652379508231, 'support': 32431.0} | {'precision': 0.9156807233032831, 'recall': 0.9168388270481946, 'f1-score': 0.9161948874715029, 'support': 32431.0} |
-| 0.0004        | 50.0  | 4050 | 0.7657          | {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0} | {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0} | 0.9167   | {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0} | {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0} |
+| No log        | 1.0   | 81   | 0.2860          | {'precision': 0.6267132491265789, 'recall': 0.4720647773279352, 'f1-score': 0.5385059461955894, 'support': 4940.0} | {'precision': 0.9588039867109635, 'recall': 0.6595063985374772, 'f1-score': 0.7814784727863526, 'support': 2188.0} | {'precision': 0.9996969237763298, 'recall': 0.9880925634688834, 'f1-score': 0.9938608715302625, 'support': 13353.0} | {'precision': 0.8455112497215416, 'recall': 0.954902824076986, 'f1-score': 0.8968837690149166, 'support': 15899.0}  | 0.8838   | {'precision': 0.8576813523338533, 'recall': 0.7686416408528204, 'f1-score': 0.8026822648817803, 'support': 36380.0} | {'precision': 0.8792073379911217, 'recall': 0.8837548103353491, 'f1-score': 0.8768739289107891, 'support': 36380.0} |
+| No log        | 2.0   | 162  | 0.2489          | {'precision': 0.6453172205438067, 'recall': 0.648582995951417, 'f1-score': 0.6469459868753155, 'support': 4940.0}  | {'precision': 0.9669226225634967, 'recall': 0.7481718464351006, 'f1-score': 0.8435970110796187, 'support': 2188.0} | {'precision': 0.9983541557567143, 'recall': 0.9994008836965476, 'f1-score': 0.998877245508982, 'support': 13353.0}  | {'precision': 0.8972179761540813, 'recall': 0.922951129001824, 'f1-score': 0.9099026477336144, 'support': 15899.0}  | 0.9032   | {'precision': 0.8769529937545246, 'recall': 0.8297767137712222, 'f1-score': 0.8498307227993828, 'support': 36380.0} | {'precision': 0.9043261520711511, 'recall': 0.903243540406817, 'f1-score': 0.9028656814459712, 'support': 36380.0}  |
+| No log        | 3.0   | 243  | 0.2430          | {'precision': 0.6698958142935478, 'recall': 0.7419028340080972, 'f1-score': 0.7040630102775911, 'support': 4940.0} | {'precision': 0.8392204628501827, 'recall': 0.9446983546617916, 'f1-score': 0.8888411094388303, 'support': 2188.0} | {'precision': 0.9988769092542678, 'recall': 0.9991013255448213, 'f1-score': 0.998989104796136, 'support': 13353.0}  | {'precision': 0.9390987408880053, 'recall': 0.8913139191144097, 'f1-score': 0.914582593823615, 'support': 15899.0}  | 0.9138   | {'precision': 0.8617729818215009, 'recall': 0.8942541083322799, 'f1-score': 0.8766189545840432, 'support': 36380.0} | {'precision': 0.9184781183611038, 'recall': 0.9137987905442551, 'f1-score': 0.9154289662937856, 'support': 36380.0} |
+| No log        | 4.0   | 324  | 0.2398          | {'precision': 0.6754352763058289, 'recall': 0.7224696356275304, 'f1-score': 0.6981611893583725, 'support': 4940.0} | {'precision': 0.8836187966622749, 'recall': 0.9195612431444241, 'f1-score': 0.901231802911534, 'support': 2188.0}  | {'precision': 0.9998499399759904, 'recall': 0.9979779824758481, 'f1-score': 0.9989130842172332, 'support': 13353.0} | {'precision': 0.9266670970240785, 'recall': 0.9028869740235235, 'f1-score': 0.9146224912392481, 'support': 15899.0} | 0.9143   | {'precision': 0.8713927774920431, 'recall': 0.8857239588178316, 'f1-score': 0.8782321419315969, 'support': 36380.0} | {'precision': 0.9168247558035478, 'recall': 0.9142935678944475, 'f1-score': 0.9153623106642749, 'support': 36380.0} |
+| No log        | 5.0   | 405  | 0.2933          | {'precision': 0.6450999048525214, 'recall': 0.6862348178137652, 'f1-score': 0.6650318783717509, 'support': 4940.0} | {'precision': 0.8916702632714717, 'recall': 0.9442413162705667, 'f1-score': 0.9172031076581575, 'support': 2188.0} | {'precision': 0.9992495872730002, 'recall': 0.9972290870965326, 'f1-score': 0.9982383147794145, 'support': 13353.0} | {'precision': 0.9119622787753521, 'recall': 0.8880432731618341, 'f1-score': 0.8998438545616774, 'support': 15899.0} | 0.9041   | {'precision': 0.8619955085430864, 'recall': 0.8789371235856747, 'f1-score': 0.87007928884275, 'support': 36380.0}   | {'precision': 0.9065430476942037, 'recall': 0.9040956569543706, 'f1-score': 0.9051179642561333, 'support': 36380.0} |
+| No log        | 6.0   | 486  | 0.3605          | {'precision': 0.5740163325909429, 'recall': 0.7825910931174089, 'f1-score': 0.6622698072805139, 'support': 4940.0} | {'precision': 0.8842767295597485, 'recall': 0.9638939670932358, 'f1-score': 0.9223704351629127, 'support': 2188.0} | {'precision': 0.9993994444861497, 'recall': 0.9970044184827379, 'f1-score': 0.9982004948639124, 'support': 13353.0} | {'precision': 0.9398091685199799, 'recall': 0.8239511918988616, 'f1-score': 0.8780749379985253, 'support': 15899.0} | 0.8903   | {'precision': 0.8493754187892053, 'recall': 0.8918601676480611, 'f1-score': 0.865228918826466, 'support': 36380.0}  | {'precision': 0.9086708334194257, 'recall': 0.8902693787795491, 'f1-score': 0.8955262233990811, 'support': 36380.0} |
+| 0.2104        | 7.0   | 567  | 0.3641          | {'precision': 0.7110973341599504, 'recall': 0.6965587044534413, 'f1-score': 0.7037529399734124, 'support': 4940.0} | {'precision': 0.8959687906371911, 'recall': 0.9446983546617916, 'f1-score': 0.9196885428253615, 'support': 2188.0} | {'precision': 0.9996248780853777, 'recall': 0.997828203399985, 'f1-score': 0.9987257327036954, 'support': 13353.0}  | {'precision': 0.9187048098082364, 'recall': 0.9190515126737531, 'f1-score': 0.9188781285372909, 'support': 15899.0} | 0.9193   | {'precision': 0.8813489531726889, 'recall': 0.8895341937972427, 'f1-score': 0.8852613360099401, 'support': 36380.0} | {'precision': 0.9188476996393494, 'recall': 0.9192963166575041, 'f1-score': 0.9190227083446231, 'support': 36380.0} |
+| 0.2104        | 8.0   | 648  | 0.3522          | {'precision': 0.6562390158172232, 'recall': 0.7558704453441295, 'f1-score': 0.7025399811853246, 'support': 4940.0} | {'precision': 0.8848641655886158, 'recall': 0.9378427787934186, 'f1-score': 0.9105835367206567, 'support': 2188.0} | {'precision': 0.9991005172026085, 'recall': 0.9982026510896428, 'f1-score': 0.9986513823331086, 'support': 13353.0} | {'precision': 0.9345974717232203, 'recall': 0.8835146864582678, 'f1-score': 0.9083384525849526, 'support': 15899.0} | 0.9115   | {'precision': 0.8687002925829169, 'recall': 0.8938576404213647, 'f1-score': 0.8800283382060107, 'support': 36380.0} | {'precision': 0.9174837257168467, 'recall': 0.911544804837823, 'f1-score': 0.9136769997620249, 'support': 36380.0}  |
+| 0.2104        | 9.0   | 729  | 0.4436          | {'precision': 0.6275594908688434, 'recall': 0.6886639676113361, 'f1-score': 0.6566933693658913, 'support': 4940.0} | {'precision': 0.7706131078224101, 'recall': 0.9995429616087751, 'f1-score': 0.8702745722244328, 'support': 2188.0} | {'precision': 0.9983537862915295, 'recall': 0.9991762150827529, 'f1-score': 0.9987648313807688, 'support': 13353.0} | {'precision': 0.9350138917124077, 'recall': 0.8678533241084345, 'f1-score': 0.9001826722338205, 'support': 15899.0} | 0.8996   | {'precision': 0.8328850691737977, 'recall': 0.8888091171028246, 'f1-score': 0.8564788613012284, 'support': 36380.0} | {'precision': 0.90662587513727, 'recall': 0.8996426608026388, 'f1-score': 0.9015045934020747, 'support': 36380.0}   |
+| 0.2104        | 10.0  | 810  | 0.4409          | {'precision': 0.7145572025845686, 'recall': 0.7611336032388664, 'f1-score': 0.7371103705155853, 'support': 4940.0} | {'precision': 0.9194187582562747, 'recall': 0.9542961608775137, 'f1-score': 0.9365328549002018, 'support': 2188.0} | {'precision': 0.9993257416841475, 'recall': 0.9989515464689583, 'f1-score': 0.9991386090408599, 'support': 13353.0} | {'precision': 0.9344473837021743, 'recall': 0.9109377948298635, 'f1-score': 0.9225428371233836, 'support': 15899.0} | 0.9255   | {'precision': 0.8919372715567913, 'recall': 0.9063297763538004, 'f1-score': 0.8988311678950076, 'support': 36380.0} | {'precision': 0.927497977075915, 'recall': 0.9255085211654756, 'f1-score': 0.9263184587909816, 'support': 36380.0}  |
+| 0.2104        | 11.0  | 891  | 0.4955          | {'precision': 0.7086579123080348, 'recall': 0.6445344129554655, 'f1-score': 0.6750768578394996, 'support': 4940.0} | {'precision': 0.8220211161387632, 'recall': 0.9963436928702011, 'f1-score': 0.9008264462809917, 'support': 2188.0} | {'precision': 0.9998499849984999, 'recall': 0.9982775406275743, 'f1-score': 0.9990631440884392, 'support': 13353.0} | {'precision': 0.9167452681883921, 'recall': 0.9169759104346186, 'f1-score': 0.9168605748066159, 'support': 15899.0} | 0.9146   | {'precision': 0.8618185704084225, 'recall': 0.8890328892219649, 'f1-score': 0.8729567557538865, 'support': 36380.0} | {'precision': 0.9132952764575458, 'recall': 0.9145959318306762, 'f1-score': 0.9132365141301059, 'support': 36380.0} |
+| 0.2104        | 12.0  | 972  | 0.5210          | {'precision': 0.6866247209255125, 'recall': 0.6848178137651821, 'f1-score': 0.6857200770244248, 'support': 4940.0} | {'precision': 0.8543537680593518, 'recall': 1.0, 'f1-score': 0.9214571488734471, 'support': 2188.0}                | {'precision': 0.9979811574697174, 'recall': 0.9995506627724107, 'f1-score': 0.9987652935234033, 'support': 13353.0} | {'precision': 0.9239592731022039, 'recall': 0.9018177243851815, 'f1-score': 0.9127542413343095, 'support': 15899.0} | 0.9141   | {'precision': 0.8657297298891964, 'recall': 0.8965465502306935, 'f1-score': 0.8796741901888963, 'support': 36380.0} | {'precision': 0.9147147620844138, 'recall': 0.91412864211105, 'f1-score': 0.9140186385274314, 'support': 36380.0}   |
+| 0.0286        | 13.0  | 1053 | 0.5909          | {'precision': 0.7079991774624718, 'recall': 0.6969635627530364, 'f1-score': 0.7024380291747424, 'support': 4940.0} | {'precision': 0.8643507030603805, 'recall': 0.9552102376599635, 'f1-score': 0.9075119409465915, 'support': 2188.0} | {'precision': 0.9985774183887391, 'recall': 0.9988017673930952, 'f1-score': 0.9986895802912875, 'support': 13353.0} | {'precision': 0.9246014101505431, 'recall': 0.9155292785709793, 'f1-score': 0.9200429808482398, 'support': 15899.0} | 0.9188   | {'precision': 0.8738821772655336, 'recall': 0.8916262115942686, 'f1-score': 0.8821706328152152, 'support': 36380.0} | {'precision': 0.918717904416961, 'recall': 0.9188015393073117, 'f1-score': 0.9186076225687217, 'support': 36380.0}  |
+| 0.0286        | 14.0  | 1134 | 0.5594          | {'precision': 0.7137881581643106, 'recall': 0.7052631578947368, 'f1-score': 0.7095000509113125, 'support': 4940.0} | {'precision': 0.9252767527675276, 'recall': 0.916819012797075, 'f1-score': 0.921028466483012, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.9989515464689583, 'f1-score': 0.9994754982766372, 'support': 13353.0}                | {'precision': 0.9180215107553776, 'recall': 0.9233914082646707, 'f1-score': 0.9206986297074409, 'support': 15899.0} | 0.9211   | {'precision': 0.889271605421804, 'recall': 0.8861062813563602, 'f1-score': 0.8876756613446006, 'support': 36380.0}  | {'precision': 0.9208148168193181, 'recall': 0.9211105002748763, 'f1-score': 0.9209544908843665, 'support': 36380.0} |
+| 0.0286        | 15.0  | 1215 | 0.6214          | {'precision': 0.6282454109475774, 'recall': 0.7690283400809717, 'f1-score': 0.6915445526531356, 'support': 4940.0} | {'precision': 0.9042918454935622, 'recall': 0.9629798903107861, 'f1-score': 0.9327135900841081, 'support': 2188.0} | {'precision': 0.9998501199040767, 'recall': 0.9991762150827529, 'f1-score': 0.9995130539011873, 'support': 13353.0} | {'precision': 0.936421311139914, 'recall': 0.8633876344424177, 'f1-score': 0.8984226716408141, 'support': 15899.0}  | 0.9064   | {'precision': 0.8672021718712826, 'recall': 0.898643019979232, 'f1-score': 0.8805484670698113, 'support': 36380.0}  | {'precision': 0.9159231436204942, 'recall': 0.9064046179219352, 'f1-score': 0.9094977265082566, 'support': 36380.0} |
+| 0.0286        | 16.0  | 1296 | 0.6214          | {'precision': 0.6727738376674547, 'recall': 0.6912955465587044, 'f1-score': 0.6819089456869009, 'support': 4940.0} | {'precision': 0.9244343891402715, 'recall': 0.9337294332723949, 'f1-score': 0.9290586630286495, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9996255523103422, 'f1-score': 0.9998127410958391, 'support': 13353.0}                | {'precision': 0.9131843007748, 'recall': 0.9043965029247123, 'f1-score': 0.9087691578448412, 'support': 15899.0}    | 0.9122   | {'precision': 0.8775981318956315, 'recall': 0.8822617587665385, 'f1-score': 0.8798873769140577, 'support': 36380.0} | {'precision': 0.9130808795913876, 'recall': 0.9121770203408466, 'f1-score': 0.9126011797368843, 'support': 36380.0} |
+| 0.0286        | 17.0  | 1377 | 0.6075          | {'precision': 0.7524590163934426, 'recall': 0.6504048582995952, 'f1-score': 0.6977198697068404, 'support': 4940.0} | {'precision': 0.8998309382924767, 'recall': 0.9730347349177331, 'f1-score': 0.935002195871761, 'support': 2188.0}  | {'precision': 0.9994757732344791, 'recall': 0.9994757732344791, 'f1-score': 0.9994757732344791, 'support': 13353.0} | {'precision': 0.908120309926179, 'recall': 0.9362224039247752, 'f1-score': 0.9219572623103128, 'support': 15899.0}  | 0.9228   | {'precision': 0.8899715094616443, 'recall': 0.8897844425941457, 'f1-score': 0.8885387752808483, 'support': 36380.0} | {'precision': 0.9200160099363349, 'recall': 0.9228422210005498, 'f1-score': 0.9207454500932067, 'support': 36380.0} |
+| 0.0286        | 18.0  | 1458 | 0.6335          | {'precision': 0.7486433152442032, 'recall': 0.6143724696356275, 'f1-score': 0.6748943740271293, 'support': 4940.0} | {'precision': 0.8974247053688346, 'recall': 0.9396709323583181, 'f1-score': 0.9180620674257648, 'support': 2188.0} | {'precision': 0.9998501984870047, 'recall': 0.9997004418482738, 'f1-score': 0.9997753145596164, 'support': 13353.0} | {'precision': 0.898945097099017, 'recall': 0.9433297691678721, 'f1-score': 0.9206027683147655, 'support': 15899.0}  | 0.9191   | {'precision': 0.8862158290497649, 'recall': 0.874268403252523, 'f1-score': 0.878333631081819, 'support': 36380.0}   | {'precision': 0.9154807870211, 'recall': 0.9191313908741067, 'f1-score': 0.9161451676737934, 'support': 36380.0}    |
+| 0.0091        | 19.0  | 1539 | 0.6328          | {'precision': 0.7439243924392439, 'recall': 0.6692307692307692, 'f1-score': 0.7046035805626598, 'support': 4940.0} | {'precision': 0.8727272727272727, 'recall': 0.9872029250457038, 'f1-score': 0.9264422045893201, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9153078306156612, 'recall': 0.9285489653437323, 'f1-score': 0.921880854252529, 'support': 15899.0}  | 0.9225   | {'precision': 0.8829898739455444, 'recall': 0.8958524948309107, 'f1-score': 0.8880349201096995, 'support': 36380.0} | {'precision': 0.9205605544347316, 'recall': 0.9225123694337548, 'f1-score': 0.9210355324440019, 'support': 36380.0} |
+| 0.0091        | 20.0  | 1620 | 0.6888          | {'precision': 0.7153778942769768, 'recall': 0.6629554655870445, 'f1-score': 0.6881697835679765, 'support': 4940.0} | {'precision': 0.8919597989949749, 'recall': 0.973491773308958, 'f1-score': 0.9309440559440559, 'support': 2188.0}  | {'precision': 0.9997753313862053, 'recall': 0.9997753313862053, 'f1-score': 0.9997753313862053, 'support': 13353.0} | {'precision': 0.9115248116555632, 'recall': 0.92081262972514, 'f1-score': 0.9161451814768461, 'support': 15899.0}   | 0.9179   | {'precision': 0.87965945907843, 'recall': 0.8892588000018369, 'f1-score': 0.883758588093771, 'support': 36380.0}    | {'precision': 0.9161052176591827, 'recall': 0.9179494227597581, 'f1-score': 0.916774507023963, 'support': 36380.0}  |
+| 0.0091        | 21.0  | 1701 | 0.7242          | {'precision': 0.7307692307692307, 'recall': 0.573076923076923, 'f1-score': 0.6423871114136601, 'support': 4940.0}  | {'precision': 0.9239130434782609, 'recall': 0.8546617915904936, 'f1-score': 0.8879392212725545, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9970044184827379, 'f1-score': 0.9984999624990625, 'support': 13353.0}                | {'precision': 0.883336245558856, 'recall': 0.9538964714761935, 'f1-score': 0.9172614007499698, 'support': 15899.0}  | 0.9120   | {'precision': 0.8845046299515869, 'recall': 0.844659901156587, 'f1-score': 0.8615219239838117, 'support': 36380.0}  | {'precision': 0.9078802833224489, 'recall': 0.9120395821880154, 'f1-score': 0.9079909938510604, 'support': 36380.0} |
+| 0.0091        | 22.0  | 1782 | 0.7164          | {'precision': 0.7086419753086419, 'recall': 0.6390688259109312, 'f1-score': 0.6720596061734965, 'support': 4940.0} | {'precision': 0.8903625110521662, 'recall': 0.9204753199268738, 'f1-score': 0.9051685393258427, 'support': 2188.0} | {'precision': 0.9995507973347308, 'recall': 0.9998502209241369, 'f1-score': 0.9997004867090977, 'support': 13353.0} | {'precision': 0.9051882742548755, 'recall': 0.9283602742310837, 'f1-score': 0.9166278528178853, 'support': 15899.0} | 0.9148   | {'precision': 0.8759358894876037, 'recall': 0.8719386602482564, 'f1-score': 0.8733891212565805, 'support': 36380.0} | {'precision': 0.9122428450081295, 'recall': 0.9148433205057724, 'f1-score': 0.9132201772820274, 'support': 36380.0} |
+| 0.0091        | 23.0  | 1863 | 0.6954          | {'precision': 0.6750700280112045, 'recall': 0.7317813765182186, 'f1-score': 0.7022826614861584, 'support': 4940.0} | {'precision': 0.8772901576480614, 'recall': 0.9410420475319927, 'f1-score': 0.9080485115766262, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9977533138620535, 'f1-score': 0.9988753936122357, 'support': 13353.0}                | {'precision': 0.9295994789970694, 'recall': 0.8977923139820114, 'f1-score': 0.9134190823574582, 'support': 15899.0} | 0.9145   | {'precision': 0.8704899161640838, 'recall': 0.892092262973569, 'f1-score': 0.8806564122581195, 'support': 36380.0}  | {'precision': 0.9177311412832249, 'recall': 0.9145409565695437, 'f1-score': 0.9157921828580727, 'support': 36380.0} |
+| 0.0091        | 24.0  | 1944 | 0.7690          | {'precision': 0.6463308349311487, 'recall': 0.7506072874493928, 'f1-score': 0.6945771284068559, 'support': 4940.0} | {'precision': 0.8826677645121449, 'recall': 0.979890310786106, 'f1-score': 0.9287416071041802, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9339381720430108, 'recall': 0.8740801308258381, 'f1-score': 0.9030182916923878, 'support': 15899.0} | 0.9094   | {'precision': 0.8657341928715762, 'recall': 0.9007887069601594, 'f1-score': 0.8814062675176844, 'support': 36380.0} | {'precision': 0.9160482240413489, 'recall': 0.9093732820230896, 'f1-score': 0.911596446033489, 'support': 36380.0}  |
+| 0.0045        | 25.0  | 2025 | 0.7267          | {'precision': 0.7481386392811297, 'recall': 0.5898785425101215, 'f1-score': 0.6596491228070176, 'support': 4940.0} | {'precision': 0.9177897574123989, 'recall': 0.9337294332723949, 'f1-score': 0.9256909832351607, 'support': 2188.0} | {'precision': 0.9999251048532055, 'recall': 0.9998502209241369, 'f1-score': 0.9998876614866129, 'support': 13353.0} | {'precision': 0.8901046903649376, 'recall': 0.9465375180828983, 'f1-score': 0.9174541242455649, 'support': 15899.0} | 0.9169   | {'precision': 0.888989547977918, 'recall': 0.867498928697388, 'f1-score': 0.8756704729435891, 'support': 36380.0}   | {'precision': 0.9128010792876335, 'recall': 0.9169048927982408, 'f1-score': 0.9131990545133639, 'support': 36380.0} |
+| 0.0045        | 26.0  | 2106 | 0.6803          | {'precision': 0.6994106090373281, 'recall': 0.7206477732793523, 'f1-score': 0.7098703888334996, 'support': 4940.0} | {'precision': 0.8851976450798991, 'recall': 0.9620658135283364, 'f1-score': 0.9220324134910205, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9991013255448213, 'f1-score': 0.9995504607777028, 'support': 13353.0}                | {'precision': 0.9268511977393873, 'recall': 0.9077300459148374, 'f1-score': 0.9171909755322529, 'support': 15899.0} | 0.9191   | {'precision': 0.8778648629641536, 'recall': 0.8973862395668368, 'f1-score': 0.887161059658619, 'support': 36380.0}  | {'precision': 0.9203108314716255, 'recall': 0.9191313908741067, 'f1-score': 0.9195597378864155, 'support': 36380.0} |
+| 0.0045        | 27.0  | 2187 | 0.6693          | {'precision': 0.7271731990365666, 'recall': 0.6722672064777327, 'f1-score': 0.698643105080467, 'support': 4940.0}  | {'precision': 0.8932754880694144, 'recall': 0.9410420475319927, 'f1-score': 0.9165368350767862, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9983524301655059, 'f1-score': 0.9991755359016639, 'support': 13353.0}                | {'precision': 0.9127155838536193, 'recall': 0.9286747594188314, 'f1-score': 0.9206260132186058, 'support': 15899.0} | 0.9202   | {'precision': 0.8832910677399001, 'recall': 0.8850841108985157, 'f1-score': 0.8837453723193808, 'support': 36380.0} | {'precision': 0.918388879571886, 'recall': 0.9201759208356239, 'f1-score': 0.9190682641369721, 'support': 36380.0}  |
+| 0.0045        | 28.0  | 2268 | 0.6845          | {'precision': 0.7188900747065101, 'recall': 0.6817813765182186, 'f1-score': 0.6998441558441558, 'support': 4940.0} | {'precision': 0.9094219390077378, 'recall': 0.9131627056672761, 'f1-score': 0.9112884834663626, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9139372175097518, 'recall': 0.9284231712686333, 'f1-score': 0.9211232449297972, 'support': 15899.0} | 0.9201   | {'precision': 0.8855435770050709, 'recall': 0.8807107566721517, 'f1-score': 0.8829890646930376, 'support': 36380.0} | {'precision': 0.9187416037176308, 'recall': 0.9200934579439253, 'f1-score': 0.9193256433193232, 'support': 36380.0} |
+| 0.0045        | 29.0  | 2349 | 0.7010          | {'precision': 0.6914387633769322, 'recall': 0.7062753036437247, 'f1-score': 0.6987782896054476, 'support': 4940.0} | {'precision': 0.8771560790912916, 'recall': 0.9529250457038391, 'f1-score': 0.9134720700985761, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9233625712273513, 'recall': 0.907101075539342, 'f1-score': 0.9151595913446284, 'support': 15899.0}  | 0.9162   | {'precision': 0.8729706099840976, 'recall': 0.8912757980700003, 'f1-score': 0.8816932580592669, 'support': 36380.0} | {'precision': 0.9171925615027781, 'recall': 0.916245189664651, 'f1-score': 0.9165821661881187, 'support': 36380.0}  |
+| 0.0045        | 30.0  | 2430 | 0.7106          | {'precision': 0.7097318978256281, 'recall': 0.6805668016194332, 'f1-score': 0.6948434432158727, 'support': 4940.0} | {'precision': 0.8985126859142607, 'recall': 0.9387568555758684, 'f1-score': 0.9181940098345999, 'support': 2188.0} | {'precision': 0.9999250543356066, 'recall': 0.9991762150827529, 'f1-score': 0.9995504944560982, 'support': 13353.0} | {'precision': 0.91476208317722, 'recall': 0.9213787030630858, 'f1-score': 0.9180584714693073, 'support': 15899.0}   | 0.9183   | {'precision': 0.8807329303131789, 'recall': 0.8849696438352851, 'f1-score': 0.8826616047439695, 'support': 36380.0} | {'precision': 0.9172023898575309, 'recall': 0.9182792743265531, 'f1-score': 0.917667523182169, 'support': 36380.0}  |
+| 0.0031        | 31.0  | 2511 | 0.6843          | {'precision': 0.7165338238299611, 'recall': 0.7097165991902834, 'f1-score': 0.7131089189464049, 'support': 4940.0} | {'precision': 0.8918217221981826, 'recall': 0.9419561243144424, 'f1-score': 0.9162036008001779, 'support': 2188.0} | {'precision': 0.9999250374812594, 'recall': 0.9989515464689583, 'f1-score': 0.9994380549207659, 'support': 13353.0} | {'precision': 0.9235918161151806, 'recall': 0.9199320711994465, 'f1-score': 0.9217583110130771, 'support': 15899.0} | 0.9217   | {'precision': 0.882968099906146, 'recall': 0.8926390852932827, 'f1-score': 0.8876272214201064, 'support': 36380.0}  | {'precision': 0.9215824169266671, 'recall': 0.9217152281473338, 'f1-score': 0.9216037183150064, 'support': 36380.0} |
+| 0.0031        | 32.0  | 2592 | 0.7217          | {'precision': 0.720086862106406, 'recall': 0.671255060728745, 'f1-score': 0.6948140387637506, 'support': 4940.0}   | {'precision': 0.8846646732165742, 'recall': 0.946526508226691, 'f1-score': 0.9145506734378449, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9131946600434647, 'recall': 0.9250267312409586, 'f1-score': 0.9190726159230096, 'support': 15899.0} | 0.9187   | {'precision': 0.8794865488416111, 'recall': 0.8852527378215094, 'f1-score': 0.8818844613318033, 'support': 36380.0} | {'precision': 0.9171181227002353, 'recall': 0.918719076415613, 'f1-score': 0.9177224560676552, 'support': 36380.0}  |
+| 0.0031        | 33.0  | 2673 | 0.7048          | {'precision': 0.7463226974428604, 'recall': 0.6676113360323886, 'f1-score': 0.7047761512982157, 'support': 4940.0} | {'precision': 0.8873358746293943, 'recall': 0.9574954296160878, 'f1-score': 0.921081556386019, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9127842655193608, 'recall': 0.9340839046480911, 'f1-score': 0.9233112623954739, 'support': 15899.0} | 0.9229   | {'precision': 0.8866107093979039, 'recall': 0.8893670527310353, 'f1-score': 0.8870767495093961, 'support': 36380.0} | {'precision': 0.9206619586736987, 'recall': 0.922869708631116, 'f1-score': 0.9213341528568705, 'support': 36380.0}  |
+| 0.0031        | 34.0  | 2754 | 0.7385          | {'precision': 0.7408897831433042, 'recall': 0.6708502024291498, 'f1-score': 0.704132582598534, 'support': 4940.0}  | {'precision': 0.8869675242513707, 'recall': 0.9611517367458866, 'f1-score': 0.9225707391971923, 'support': 2188.0} | {'precision': 0.9999249699879952, 'recall': 0.9980528720137797, 'f1-score': 0.9989880439263896, 'support': 13353.0} | {'precision': 0.9134378084896347, 'recall': 0.9311906409208126, 'f1-score': 0.9222287974584982, 'support': 15899.0} | 0.9222   | {'precision': 0.8853050214680762, 'recall': 0.8903113630274071, 'f1-score': 0.8869800407951536, 'support': 36380.0} | {'precision': 0.9201601515452535, 'recall': 0.9221825178669598, 'f1-score': 0.9208082115651994, 'support': 36380.0} |
+| 0.0031        | 35.0  | 2835 | 0.7338          | {'precision': 0.7179064496187925, 'recall': 0.7052631578947368, 'f1-score': 0.7115286429081996, 'support': 4940.0} | {'precision': 0.9028021015761821, 'recall': 0.9424131627056673, 'f1-score': 0.9221824686940967, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9207167557371896, 'recall': 0.9210642178753381, 'f1-score': 0.9208904540309396, 'support': 15899.0} | 0.9216   | {'precision': 0.8853375832932451, 'recall': 0.8918855764672093, 'f1-score': 0.8884911617054129, 'support': 36380.0} | {'precision': 0.9211727167186562, 'recall': 0.9215777899945025, 'f1-score': 0.9213419265864765, 'support': 36380.0} |
+| 0.0031        | 36.0  | 2916 | 0.7660          | {'precision': 0.6856398809523809, 'recall': 0.7461538461538462, 'f1-score': 0.7146180690189995, 'support': 4940.0} | {'precision': 0.893299189073837, 'recall': 0.956581352833638, 'f1-score': 0.9238578680203046, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9318893528183716, 'recall': 0.8984212843575068, 'f1-score': 0.9148493291062222, 'support': 15899.0} | 0.9180   | {'precision': 0.8777071057111474, 'recall': 0.89991467314659, 'f1-score': 0.8881439523753982, 'support': 36380.0}   | {'precision': 0.9211299741082354, 'recall': 0.9179769103903244, 'f1-score': 0.9191807659449058, 'support': 36380.0} |
+| 0.0031        | 37.0  | 2997 | 0.7609          | {'precision': 0.7443946188340808, 'recall': 0.6720647773279352, 'f1-score': 0.7063829787234043, 'support': 4940.0} | {'precision': 0.875306623058054, 'recall': 0.9785191956124314, 'f1-score': 0.9240397065170479, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9975286452482588, 'f1-score': 0.9987627938364638, 'support': 13353.0}                | {'precision': 0.9151293797201931, 'recall': 0.9298069060947229, 'f1-score': 0.9224097588369263, 'support': 15899.0} | 0.9226   | {'precision': 0.883707655403082, 'recall': 0.8944798810708371, 'f1-score': 0.8878988094784606, 'support': 36380.0}  | {'precision': 0.9207015480061224, 'recall': 0.9225948323254536, 'f1-score': 0.9211985468554017, 'support': 36380.0} |
+| 0.0007        | 38.0  | 3078 | 0.7454          | {'precision': 0.7367860187553282, 'recall': 0.6997975708502024, 'f1-score': 0.7178156146179401, 'support': 4940.0} | {'precision': 0.8893097643097643, 'recall': 0.9657221206581352, 'f1-score': 0.9259421560035057, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9218290009395553, 'recall': 0.9256557016164538, 'f1-score': 0.9237383881496359, 'support': 15899.0} | 0.9245   | {'precision': 0.8869624652002329, 'recall': 0.8976627915898177, 'f1-score': 0.8917991333257291, 'support': 36380.0} | {'precision': 0.9234109822253945, 'recall': 0.9244914788345244, 'f1-score': 0.9237901678906805, 'support': 36380.0} |
+| 0.0007        | 39.0  | 3159 | 0.7313          | {'precision': 0.7448151487826871, 'recall': 0.668825910931174, 'f1-score': 0.704778156996587, 'support': 4940.0}   | {'precision': 0.8852459016393442, 'recall': 0.9625228519195612, 'f1-score': 0.9222684475585724, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9137453021994948, 'recall': 0.9328259638971005, 'f1-score': 0.9231870525988172, 'support': 15899.0} | 0.9229   | {'precision': 0.8859515881553816, 'recall': 0.8906879563817841, 'f1-score': 0.8873804250053225, 'support': 36380.0} | {'precision': 0.9207515510567105, 'recall': 0.9228971962616822, 'f1-score': 0.9214065872594044, 'support': 36380.0} |
+| 0.0007        | 40.0  | 3240 | 0.7378          | {'precision': 0.7307852098047362, 'recall': 0.7121457489878542, 'f1-score': 0.7213450891941768, 'support': 4940.0} | {'precision': 0.8979416809605489, 'recall': 0.9570383912248629, 'f1-score': 0.9265486725663717, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9231446540880504, 'recall': 0.9232027171520222, 'f1-score': 0.9231736847070662, 'support': 15899.0} | 0.9242   | {'precision': 0.8879678862133338, 'recall': 0.89774098903601, 'f1-score': 0.8925888723337321, 'support': 36380.0}   | {'precision': 0.9237177622243814, 'recall': 0.9242440901594282, 'f1-score': 0.9239077758592451, 'support': 36380.0} |
+| 0.0007        | 41.0  | 3321 | 0.7536          | {'precision': 0.731932232468368, 'recall': 0.6908906882591093, 'f1-score': 0.7108195355618034, 'support': 4940.0}  | {'precision': 0.8881469115191987, 'recall': 0.9725776965265083, 'f1-score': 0.9284467713787086, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9187566451935706, 'recall': 0.9239574816026165, 'f1-score': 0.9213497240341193, 'support': 15899.0} | 0.9226   | {'precision': 0.8847089472952844, 'recall': 0.8964632965229179, 'f1-score': 0.8899572680022301, 'support': 36380.0} | {'precision': 0.9213667557100144, 'recall': 0.9225673446948873, 'f1-score': 0.921768033007181, 'support': 36380.0}  |
+| 0.0007        | 42.0  | 3402 | 0.7416          | {'precision': 0.7358247422680413, 'recall': 0.6935222672064777, 'f1-score': 0.7140475197999167, 'support': 4940.0} | {'precision': 0.8910766652702137, 'recall': 0.9721206581352834, 'f1-score': 0.9298360655737705, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.919265137786665, 'recall': 0.9252783193911567, 'f1-score': 0.9222619271519027, 'support': 15899.0}  | 0.9235   | {'precision': 0.88654163633123, 'recall': 0.8973745858780546, 'f1-score': 0.8913583888482258, 'support': 36380.0}   | {'precision': 0.9222937437076839, 'recall': 0.9235294117647059, 'f1-score': 0.9227160988312902, 'support': 36380.0} |
+| 0.0007        | 43.0  | 3483 | 0.7578          | {'precision': 0.7373890452478892, 'recall': 0.6894736842105263, 'f1-score': 0.7126268438121143, 'support': 4940.0} | {'precision': 0.8900961136648559, 'recall': 0.973491773308958, 'f1-score': 0.9299279633267845, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9181319366504551, 'recall': 0.9261588779168501, 'f1-score': 0.9221279393806557, 'support': 15899.0} | 0.9233   | {'precision': 0.8864042738908001, 'recall': 0.8968504690159773, 'f1-score': 0.8909551936193576, 'support': 36380.0} | {'precision': 0.9219519472520303, 'recall': 0.9233369983507421, 'f1-score': 0.9224150958693075, 'support': 36380.0} |
+| 0.0003        | 44.0  | 3564 | 0.7405          | {'precision': 0.7482868889904066, 'recall': 0.6631578947368421, 'f1-score': 0.7031551835157759, 'support': 4940.0} | {'precision': 0.8901098901098901, 'recall': 0.9625228519195612, 'f1-score': 0.924901185770751, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9114273446604919, 'recall': 0.9345870809484873, 'f1-score': 0.9228619340413639, 'support': 15899.0} | 0.9229   | {'precision': 0.8874560309401971, 'recall': 0.8896925092115648, 'f1-score': 0.8875422116709895, 'support': 36380.0} | {'precision': 0.9205025020321663, 'recall': 0.922869708631116, 'f1-score': 0.9211886969706305, 'support': 36380.0}  |
+| 0.0003        | 45.0  | 3645 | 0.7358          | {'precision': 0.7416612164813604, 'recall': 0.6886639676113361, 'f1-score': 0.7141807494489346, 'support': 4940.0} | {'precision': 0.8908167583580194, 'recall': 0.9620658135283364, 'f1-score': 0.9250714128762909, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9177690826656729, 'recall': 0.9294295238694258, 'f1-score': 0.9235625000000001, 'support': 15899.0} | 0.9239   | {'precision': 0.8875617643762631, 'recall': 0.8945904890246853, 'f1-score': 0.8904787948819586, 'support': 36380.0} | {'precision': 0.9224168257835843, 'recall': 0.9239417262231996, 'f1-score': 0.9229471838196122, 'support': 36380.0} |
+| 0.0003        | 46.0  | 3726 | 0.7377          | {'precision': 0.7419004131332898, 'recall': 0.6906882591093118, 'f1-score': 0.7153789705419855, 'support': 4940.0} | {'precision': 0.8880565959217644, 'recall': 0.9753199268738574, 'f1-score': 0.9296449575255936, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9979779824758481, 'f1-score': 0.9989879680647701, 'support': 13353.0}                | {'precision': 0.9186394218788936, 'recall': 0.9274797157053902, 'f1-score': 0.9230384025539106, 'support': 15899.0} | 0.9241   | {'precision': 0.887149107733487, 'recall': 0.8978664710411017, 'f1-score': 0.891762574671565, 'support': 36380.0}   | {'precision': 0.9226636624850962, 'recall': 0.9240791643760308, 'f1-score': 0.9231146009158029, 'support': 36380.0} |
+| 0.0003        | 47.0  | 3807 | 0.7395          | {'precision': 0.7348195329087048, 'recall': 0.7006072874493927, 'f1-score': 0.7173056994818653, 'support': 4940.0} | {'precision': 0.8904623073719283, 'recall': 0.9771480804387569, 'f1-score': 0.9317934190455436, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9211896843822551, 'recall': 0.9233914082646707, 'f1-score': 0.9222892323156174, 'support': 15899.0} | 0.9239   | {'precision': 0.8866178811657222, 'recall': 0.8998935239640644, 'f1-score': 0.8926503479693289, 'support': 36380.0} | {'precision': 0.9229613747414034, 'recall': 0.9239142385926333, 'f1-score': 0.9232606486484036, 'support': 36380.0} |
+| 0.0003        | 48.0  | 3888 | 0.7407          | {'precision': 0.730044463264874, 'recall': 0.6979757085020243, 'f1-score': 0.7136500051743766, 'support': 4940.0}  | {'precision': 0.8839801816680429, 'recall': 0.9785191956124314, 'f1-score': 0.9288503253796095, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9213935354043516, 'recall': 0.9215673941757343, 'f1-score': 0.9214804565894154, 'support': 15899.0} | 0.9229   | {'precision': 0.8838545450843172, 'recall': 0.8991411268828897, 'f1-score': 0.8908078326248671, 'support': 36380.0} | {'precision': 0.9220122074054958, 'recall': 0.922869708631116, 'f1-score': 0.9222475487146972, 'support': 36380.0}  |
+| 0.0003        | 49.0  | 3969 | 0.7422          | {'precision': 0.7314540059347181, 'recall': 0.698582995951417, 'f1-score': 0.714640712362808, 'support': 4940.0}   | {'precision': 0.8828865979381443, 'recall': 0.9785191956124314, 'f1-score': 0.9282462605679601, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9217806841046278, 'recall': 0.9220705704761306, 'f1-score': 0.9219256045027199, 'support': 15899.0} | 0.9232   | {'precision': 0.8840303219943725, 'recall': 0.899418742820337, 'f1-score': 0.8910157801973887, 'support': 36380.0}  | {'precision': 0.9223070302964718, 'recall': 0.9231720725673447, 'f1-score': 0.9225402866579788, 'support': 36380.0} |
+| 0.0004        | 50.0  | 4050 | 0.7415          | {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}  | {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0} | 0.9235   | {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}  | {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0} |
 
 
 ### Framework versions

meta_data/README_s42_e50.md

@@ -17,12 +17,12 @@ model-index:
       name: essays_su_g
       type: essays_su_g
       config: sep_tok
-      split: train[40%:60%]
+      split: train[60%:80%]
       args: sep_tok
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9167463229625975
+      value: 0.9235019241341397
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +32,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7657
-- Claim: {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0}
-- Majorclaim: {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}
-- O: {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}
-- Premise: {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0}
-- Accuracy: 0.9167
-- Macro avg: {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0}
-- Weighted avg: {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0}
+- Loss: 0.7415
+- Claim: {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}
+- Majorclaim: {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0}
+- O: {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}
+- Premise: {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0}
+- Accuracy: 0.9235
+- Macro avg: {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}
+- Weighted avg: {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0}
 
 ## Model description
 
@@ -70,56 +70,56 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Claim                                                                                                              | Majorclaim                                                                                                         | O                                                                                                                   | Premise                                                                                                             | Accuracy | Macro avg                                                                                                           | Weighted avg                                                                                                        |
 |:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:--------:|:-------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|
-| No log        | 1.0   | 81   | 0.3158          | {'precision': 0.6002889477486154, 'recall': 0.5470704410796576, 'f1-score': 0.5724454649827784, 'support': 4557.0} | {'precision': 0.698526892771497, 'recall': 0.8986337593653592, 'f1-score': 0.7860447185813415, 'support': 2269.0}  | {'precision': 0.9975671292124707, 'recall': 1.0, 'f1-score': 0.9987820830889982, 'support': 11071.0}                | {'precision': 0.9051258677512096, 'recall': 0.8881243979633962, 'f1-score': 0.8965445389824622, 'support': 14534.0} | 0.8791   | {'precision': 0.8003772093709481, 'recall': 0.8334571496021033, 'f1-score': 0.8134542014088951, 'support': 32431.0} | {'precision': 0.8793943851252293, 'recall': 0.8791279948197712, 'f1-score': 0.8781740995293698, 'support': 32431.0} |
-| No log        | 2.0   | 162  | 0.2445          | {'precision': 0.680108254397835, 'recall': 0.5514592933947773, 'f1-score': 0.6090644692195831, 'support': 4557.0}  | {'precision': 0.8960229995208433, 'recall': 0.8241516086381666, 'f1-score': 0.8585858585858586, 'support': 2269.0} | {'precision': 0.9992776523702032, 'recall': 0.9996386956914461, 'f1-score': 0.999458141425088, 'support': 11071.0}  | {'precision': 0.8801849235905997, 'recall': 0.9431677445988716, 'f1-score': 0.9105885478942475, 'support': 14534.0} | 0.8991   | {'precision': 0.8638984574698704, 'recall': 0.8296043355808155, 'f1-score': 0.8444242542811943, 'support': 32431.0} | {'precision': 0.8938342965082798, 'recall': 0.8990780426135487, 'f1-score': 0.8949194640367888, 'support': 32431.0} |
-| No log        | 3.0   | 243  | 0.2267          | {'precision': 0.7079713847726111, 'recall': 0.60807548825982, 'f1-score': 0.6542320859402667, 'support': 4557.0}   | {'precision': 0.8866608544027899, 'recall': 0.8964301454385192, 'f1-score': 0.8915187376725839, 'support': 2269.0} | {'precision': 0.9992778479870013, 'recall': 0.9999096739228616, 'f1-score': 0.9995936611133684, 'support': 11071.0} | {'precision': 0.8973258501155497, 'recall': 0.935048850970139, 'f1-score': 0.9157990498332153, 'support': 14534.0}  | 0.9085   | {'precision': 0.872808984319488, 'recall': 0.8598660396478349, 'f1-score': 0.8652858836398586, 'support': 32431.0}  | {'precision': 0.9047762338408377, 'recall': 0.9085442940396534, 'f1-score': 0.9059516032151627, 'support': 32431.0} |
-| No log        | 4.0   | 324  | 0.2452          | {'precision': 0.6424741478360781, 'recall': 0.7362299758613122, 'f1-score': 0.6861642294713161, 'support': 4557.0} | {'precision': 0.9155636695572797, 'recall': 0.884089907448215, 'f1-score': 0.8995515695067264, 'support': 2269.0}  | {'precision': 0.9990941208442794, 'recall': 0.9962063047601842, 'f1-score': 0.9976481230212574, 'support': 11071.0} | {'precision': 0.9242435081193219, 'recall': 0.8889500481629283, 'f1-score': 0.9062532879739067, 'support': 14534.0} | 0.9038   | {'precision': 0.8703438615892398, 'recall': 0.8763690590581599, 'f1-score': 0.8724043024933017, 'support': 32431.0} | {'precision': 0.9095955973231696, 'recall': 0.9037649162838025, 'f1-score': 0.9060584182508294, 'support': 32431.0} |
-| No log        | 5.0   | 405  | 0.2841          | {'precision': 0.7332272606735614, 'recall': 0.6067588325652842, 'f1-score': 0.6640249759846301, 'support': 4557.0} | {'precision': 0.8794079233783195, 'recall': 0.8902600264433671, 'f1-score': 0.8848007008322383, 'support': 2269.0} | {'precision': 0.9992775219001174, 'recall': 0.9994580435371692, 'f1-score': 0.999367774566474, 'support': 11071.0}  | {'precision': 0.8973839110529758, 'recall': 0.9440621989816981, 'f1-score': 0.9201314377682404, 'support': 14534.0} | 0.9118   | {'precision': 0.8773241542512435, 'recall': 0.8601347753818797, 'f1-score': 0.8670812222878956, 'support': 32431.0} | {'precision': 0.9078434958291443, 'recall': 0.9118127717307515, 'f1-score': 0.9087220731552942, 'support': 32431.0} |
-| No log        | 6.0   | 486  | 0.3082          | {'precision': 0.7484258729250143, 'recall': 0.5738424402018872, 'f1-score': 0.6496087442553721, 'support': 4557.0} | {'precision': 0.8711186729051468, 'recall': 0.9026002644336713, 'f1-score': 0.8865800865800866, 'support': 2269.0} | {'precision': 0.9994572100597069, 'recall': 0.9979225002258152, 'f1-score': 0.9986892655367232, 'support': 11071.0} | {'precision': 0.889647180015452, 'recall': 0.9507362047612495, 'f1-score': 0.9191778088205947, 'support': 14534.0}  | 0.9105   | {'precision': 0.87716223397633, 'recall': 0.8562753524056559, 'f1-score': 0.8635139762981943, 'support': 32431.0}   | {'precision': 0.9059932736781678, 'recall': 0.9105177145323918, 'f1-score': 0.9061618943658084, 'support': 32431.0} |
-| 0.2223        | 7.0   | 567  | 0.3512          | {'precision': 0.629950495049505, 'recall': 0.7818740399385561, 'f1-score': 0.6977381768334475, 'support': 4557.0}  | {'precision': 0.8621688741721855, 'recall': 0.9180255619215514, 'f1-score': 0.8892209178228387, 'support': 2269.0} | {'precision': 0.9998190045248869, 'recall': 0.9979225002258152, 'f1-score': 0.9988698521766648, 'support': 11071.0} | {'precision': 0.9449996243143738, 'recall': 0.8653502132929682, 'f1-score': 0.9034227633516503, 'support': 14534.0} | 0.9026   | {'precision': 0.8592344995152377, 'recall': 0.8907930788447227, 'f1-score': 0.8723129275461503, 'support': 32431.0} | {'precision': 0.9136494810618672, 'recall': 0.9025623631710401, 'f1-score': 0.9061105026169647, 'support': 32431.0} |
-| 0.2223        | 8.0   | 648  | 0.3706          | {'precision': 0.6177710335525206, 'recall': 0.80403774412991, 'f1-score': 0.6987032799389779, 'support': 4557.0}   | {'precision': 0.8856292517006803, 'recall': 0.9180255619215514, 'f1-score': 0.9015364639688379, 'support': 2269.0} | {'precision': 0.9994574554661362, 'recall': 0.9983741306115076, 'f1-score': 0.998915499322187, 'support': 11071.0}  | {'precision': 0.9472075788830315, 'recall': 0.8530342644832806, 'f1-score': 0.8976577489773016, 'support': 14534.0} | 0.9003   | {'precision': 0.8625163299005921, 'recall': 0.8933679252865624, 'f1-score': 0.8742032480518261, 'support': 32431.0} | {'precision': 0.9144455555782818, 'recall': 0.9003114304215103, 'f1-score': 0.9045397397569994, 'support': 32431.0} |
-| 0.2223        | 9.0   | 729  | 0.4183          | {'precision': 0.7278645833333334, 'recall': 0.6133421110379635, 'f1-score': 0.6657139454567107, 'support': 4557.0} | {'precision': 0.8884479717813051, 'recall': 0.8880564125165271, 'f1-score': 0.8882521489971346, 'support': 2269.0} | {'precision': 0.9999094612947035, 'recall': 0.9975611959172613, 'f1-score': 0.9987339482727438, 'support': 11071.0} | {'precision': 0.8955360649299646, 'recall': 0.9413788358332187, 'f1-score': 0.9178854152690192, 'support': 14534.0} | 0.9107   | {'precision': 0.8779395203348266, 'recall': 0.8600846388262426, 'f1-score': 0.8676463644989021, 'support': 32431.0} | {'precision': 0.9071100542045434, 'recall': 0.9107335573987851, 'f1-score': 0.9079779452489347, 'support': 32431.0} |
-| 0.2223        | 10.0  | 810  | 0.5459          | {'precision': 0.6964871194379391, 'recall': 0.652622339258284, 'f1-score': 0.6738416222952305, 'support': 4557.0}  | {'precision': 0.8557073954983923, 'recall': 0.9382988100484795, 'f1-score': 0.8951019550136641, 'support': 2269.0} | {'precision': 0.9996382054992764, 'recall': 0.998283804534369, 'f1-score': 0.9989605459393501, 'support': 11071.0}  | {'precision': 0.9083259218717931, 'recall': 0.9135131415990092, 'f1-score': 0.9109121470961545, 'support': 14534.0} | 0.9075   | {'precision': 0.8650396605768502, 'recall': 0.8756795238600354, 'f1-score': 0.8697040675860997, 'support': 32431.0} | {'precision': 0.9060496255197702, 'recall': 0.9075267490980852, 'f1-score': 0.9065515080853328, 'support': 32431.0} |
-| 0.2223        | 11.0  | 891  | 0.5727          | {'precision': 0.7070834383665239, 'recall': 0.6155365371955234, 'f1-score': 0.6581417175035196, 'support': 4557.0} | {'precision': 0.876414273281114, 'recall': 0.8876156897311591, 'f1-score': 0.881979417560762, 'support': 2269.0}   | {'precision': 0.9999096820809249, 'recall': 1.0, 'f1-score': 0.9999548390010388, 'support': 11071.0}                | {'precision': 0.9002915065588976, 'recall': 0.9349800467868447, 'f1-score': 0.9173079519373565, 'support': 14534.0} | 0.9090   | {'precision': 0.8709247250718651, 'recall': 0.8595330684283817, 'f1-score': 0.8643459815006692, 'support': 32431.0} | {'precision': 0.9054793272287636, 'recall': 0.9089759797724399, 'f1-score': 0.9066330640790278, 'support': 32431.0} |
-| 0.2223        | 12.0  | 972  | 0.5661          | {'precision': 0.7407673860911271, 'recall': 0.6778582400702217, 'f1-score': 0.7079179557694512, 'support': 4557.0} | {'precision': 0.8644207066557108, 'recall': 0.9272807404142794, 'f1-score': 0.8947480331703169, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9169374492282697, 'recall': 0.9319526627218935, 'f1-score': 0.9243840851702722, 'support': 14534.0} | 0.9186   | {'precision': 0.8805087712920582, 'recall': 0.8838890249737601, 'f1-score': 0.8815591378893468, 'support': 32431.0} | {'precision': 0.9168331226787283, 'recall': 0.9186272393697388, 'f1-score': 0.917429533390557, 'support': 32431.0}  |
-| 0.0294        | 13.0  | 1053 | 0.5764          | {'precision': 0.7221943887775552, 'recall': 0.6326530612244898, 'f1-score': 0.6744648496900223, 'support': 4557.0} | {'precision': 0.863672814755413, 'recall': 0.9493168796826796, 'f1-score': 0.9044719714465672, 'support': 2269.0}  | {'precision': 0.9999096167751266, 'recall': 0.9992773913828923, 'f1-score': 0.9995934041111363, 'support': 11071.0} | {'precision': 0.9055171023452725, 'recall': 0.9271363698912893, 'f1-score': 0.9161992180860105, 'support': 14534.0} | 0.9119   | {'precision': 0.8728234806633418, 'recall': 0.8770959255453377, 'f1-score': 0.8736823608334341, 'support': 32431.0} | {'precision': 0.909053016531805, 'recall': 0.9119361105115475, 'f1-score': 0.9098800911419986, 'support': 32431.0}  |
-| 0.0294        | 14.0  | 1134 | 0.5469          | {'precision': 0.6923565530383231, 'recall': 0.717577353522054, 'f1-score': 0.7047413793103449, 'support': 4557.0}  | {'precision': 0.8737864077669902, 'recall': 0.9519612163948876, 'f1-score': 0.9112001687407719, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9258919757439007, 'recall': 0.903467730838035, 'f1-score': 0.9145424153781864, 'support': 14534.0}  | 0.9132   | {'precision': 0.8730087341373035, 'recall': 0.8928676893609057, 'f1-score': 0.8824289004618456, 'support': 32431.0} | {'precision': 0.9147298617643856, 'recall': 0.9131694983195091, 'f1-score': 0.9137390947680665, 'support': 32431.0} |
-| 0.0294        | 15.0  | 1215 | 0.6552          | {'precision': 0.7559304164470216, 'recall': 0.6293614219881501, 'f1-score': 0.6868638486408813, 'support': 4557.0} | {'precision': 0.8822055137844611, 'recall': 0.9308065226972234, 'f1-score': 0.9058546000428909, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9023924075660713, 'recall': 0.9420668776661622, 'f1-score': 0.9218029420675262, 'support': 14534.0} | 0.9171   | {'precision': 0.8851320844493885, 'recall': 0.8755361240685993, 'f1-score': 0.8786190564182342, 'support': 32431.0} | {'precision': 0.9137205288178378, 'recall': 0.9170855046097869, 'f1-score': 0.9143537536055225, 'support': 32431.0} |
-| 0.0294        | 16.0  | 1296 | 0.6048          | {'precision': 0.6899071696622556, 'recall': 0.7665130568356375, 'f1-score': 0.7261954261954263, 'support': 4557.0} | {'precision': 0.9050522648083623, 'recall': 0.9158219479947113, 'f1-score': 0.9104052573932091, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9360805599200114, 'recall': 0.9018164304389706, 'f1-score': 0.9186291000841041, 'support': 14534.0} | 0.9173   | {'precision': 0.8827599985976573, 'recall': 0.8960152772980452, 'f1-score': 0.8887961546485946, 'support': 32431.0} | {'precision': 0.92113920073012, 'recall': 0.9172705127809812, 'f1-score': 0.918776399254959, 'support': 32431.0}    |
-| 0.0294        | 17.0  | 1377 | 0.6666          | {'precision': 0.7134071340713407, 'recall': 0.6363835856923414, 'f1-score': 0.6726977499420088, 'support': 4557.0} | {'precision': 0.9003542958370239, 'recall': 0.8959894226531512, 'f1-score': 0.898166556218246, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9018486500864477, 'recall': 0.9331223338378973, 'f1-score': 0.9172189909373732, 'support': 14534.0} | 0.9116   | {'precision': 0.8789025199987031, 'recall': 0.8663512540265629, 'f1-score': 0.8720095330048165, 'support': 32431.0} | {'precision': 0.9087714991080675, 'recall': 0.9116277635595572, 'f1-score': 0.9097710324765249, 'support': 32431.0} |
-| 0.0294        | 18.0  | 1458 | 0.5898          | {'precision': 0.7184193478730296, 'recall': 0.7300855826201448, 'f1-score': 0.7242054854157598, 'support': 4557.0} | {'precision': 0.8937867338371117, 'recall': 0.9382988100484795, 'f1-score': 0.91550204257149, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9277948146083078, 'recall': 0.9159212880143113, 'f1-score': 0.9218198185721211, 'support': 14534.0} | 0.9200   | {'precision': 0.8850002240796123, 'recall': 0.8960538386514494, 'f1-score': 0.8903705453702524, 'support': 32431.0} | {'precision': 0.9206441029524512, 'recall': 0.9200456353488946, 'f1-score': 0.9202833015380038, 'support': 32431.0} |
-| 0.0093        | 19.0  | 1539 | 0.6108          | {'precision': 0.7151830192765866, 'recall': 0.7245995172262454, 'f1-score': 0.7198604752561586, 'support': 4557.0} | {'precision': 0.860223642172524, 'recall': 0.9493168796826796, 'f1-score': 0.9025769956002515, 'support': 2269.0}  | {'precision': 1.0, 'recall': 0.9950320657573841, 'f1-score': 0.9975098474215601, 'support': 11071.0}                | {'precision': 0.9289911851126347, 'recall': 0.9136507499655979, 'f1-score': 0.9212571111419453, 'support': 14534.0} | 0.9174   | {'precision': 0.8760994616404363, 'recall': 0.8956498031579767, 'f1-score': 0.8853011073549788, 'support': 32431.0} | {'precision': 0.9183773040411919, 'recall': 0.9173630168665783, 'f1-score': 0.9176816552958715, 'support': 32431.0} |
-| 0.0093        | 20.0  | 1620 | 0.6274          | {'precision': 0.7018174133558749, 'recall': 0.7287689269256089, 'f1-score': 0.7150392937883518, 'support': 4557.0} | {'precision': 0.8899003034243607, 'recall': 0.9048038783605112, 'f1-score': 0.8972902097902098, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9266285395452644, 'recall': 0.9141323792486583, 'f1-score': 0.9203380437794403, 'support': 14534.0} | 0.9162   | {'precision': 0.879586564081375, 'recall': 0.886542410305856, 'f1-score': 0.8829747964440202, 'support': 32431.0}   | {'precision': 0.9175167258142971, 'recall': 0.9162221331442139, 'f1-score': 0.9168102169228345, 'support': 32431.0} |
-| 0.0093        | 21.0  | 1701 | 0.6812          | {'precision': 0.6964614440580896, 'recall': 0.7472021066491112, 'f1-score': 0.7209400804573365, 'support': 4557.0} | {'precision': 0.8683574879227053, 'recall': 0.9506390480387836, 'f1-score': 0.9076372817168105, 'support': 2269.0} | {'precision': 0.9999095431931253, 'recall': 0.998464456688646, 'f1-score': 0.999186477447347, 'support': 11071.0}   | {'precision': 0.9355852317360566, 'recall': 0.9014036053392046, 'f1-score': 0.9181764025650909, 'support': 14534.0} | 0.9163   | {'precision': 0.8750784267274943, 'recall': 0.8994273041789365, 'f1-score': 0.8864850605466462, 'support': 32431.0} | {'precision': 0.9192399941849548, 'recall': 0.916314637229811, 'f1-score': 0.917379120765938, 'support': 32431.0}   |
-| 0.0093        | 22.0  | 1782 | 0.6877          | {'precision': 0.7348341232227488, 'recall': 0.6804915514592934, 'f1-score': 0.7066195738862937, 'support': 4557.0} | {'precision': 0.8991266375545851, 'recall': 0.9074482150727192, 'f1-score': 0.9032682605834613, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.914037801843008, 'recall': 0.9349800467868447, 'f1-score': 0.9243903268596307, 'support': 14534.0}  | 0.9190   | {'precision': 0.8869996406550854, 'recall': 0.8803460675018758, 'f1-score': 0.8833774499368663, 'support': 32431.0} | {'precision': 0.9171589791287257, 'recall': 0.9189664210169283, 'f1-score': 0.917861415342362, 'support': 32431.0}  |
-| 0.0093        | 23.0  | 1863 | 0.6736          | {'precision': 0.7354206500956023, 'recall': 0.6752249286811499, 'f1-score': 0.7040384395378104, 'support': 4557.0} | {'precision': 0.8623853211009175, 'recall': 0.9528426619656236, 'f1-score': 0.90536013400335, 'support': 2269.0}   | {'precision': 0.9999095350099512, 'recall': 0.9983741306115076, 'f1-score': 0.9991412429378531, 'support': 11071.0} | {'precision': 0.9164510418085251, 'recall': 0.9260355029585798, 'f1-score': 0.9212183436002738, 'support': 14534.0} | 0.9174   | {'precision': 0.878541637003749, 'recall': 0.8881193060542152, 'f1-score': 0.8824395400198218, 'support': 32431.0}  | {'precision': 0.9157214424409951, 'recall': 0.9173630168665783, 'f1-score': 0.9161926989447983, 'support': 32431.0} |
-| 0.0093        | 24.0  | 1944 | 0.6322          | {'precision': 0.724040754389768, 'recall': 0.7329383366249725, 'f1-score': 0.7284623773173391, 'support': 4557.0}  | {'precision': 0.8789045785194695, 'recall': 0.9052446011458792, 'f1-score': 0.8918801563178463, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.998464456688646, 'f1-score': 0.9992316384180792, 'support': 11071.0}                 | {'precision': 0.9289526582103002, 'recall': 0.9221136645108022, 'f1-score': 0.9255205276060909, 'support': 14534.0} | 0.9204   | {'precision': 0.8829744977798845, 'recall': 0.8896902647425751, 'f1-score': 0.8862736749148389, 'support': 32431.0} | {'precision': 0.9209116629411165, 'recall': 0.920415651691283, 'f1-score': 0.9206403732624274, 'support': 32431.0}  |
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-| 0.002         | 36.0  | 2916 | 0.7326          | {'precision': 0.7282428266540194, 'recall': 0.673908272986614, 'f1-score': 0.7000227946204696, 'support': 4557.0}  | {'precision': 0.8831658291457286, 'recall': 0.9294843543411194, 'f1-score': 0.9057333047025982, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9141366223908919, 'recall': 0.9280996284574102, 'f1-score': 0.9210652099692729, 'support': 14534.0} | 0.9170   | {'precision': 0.8813863195476599, 'recall': 0.8828504824270013, 'f1-score': 0.8816940360534948, 'support': 32431.0} | {'precision': 0.9151604174161526, 'recall': 0.9169930005241899, 'f1-score': 0.9158636638576222, 'support': 32431.0} |
-| 0.002         | 37.0  | 2997 | 0.7374          | {'precision': 0.7153202081918986, 'recall': 0.6936581084046521, 'f1-score': 0.7043226381461676, 'support': 4557.0} | {'precision': 0.8850918410935498, 'recall': 0.9131776112825033, 'f1-score': 0.8989154013015185, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9187726868022739, 'recall': 0.9230081188936288, 'f1-score': 0.9208855328642527, 'support': 14534.0} | 0.9163   | {'precision': 0.8797961840219305, 'recall': 0.8824383781259115, 'f1-score': 0.8810196018083942, 'support': 32431.0} | {'precision': 0.9155570227916499, 'recall': 0.91634547192501, 'f1-score': 0.9159103209784385, 'support': 32431.0}   |
-| 0.0012        | 38.0  | 3078 | 0.7381          | {'precision': 0.7077863286555002, 'recall': 0.6861970594689488, 'f1-score': 0.6968245125348189, 'support': 4557.0} | {'precision': 0.8841331603977518, 'recall': 0.9012780960775673, 'f1-score': 0.8926233085988651, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9164046479835953, 'recall': 0.922457685427274, 'f1-score': 0.9194212042243862, 'support': 14534.0}  | 0.9142   | {'precision': 0.8770810342592118, 'recall': 0.877460628724163, 'f1-score': 0.8772059650699272, 'support': 32431.0}  | {'precision': 0.9133700963405134, 'recall': 0.9142178779562764, 'f1-score': 0.9137602710507441, 'support': 32431.0} |
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-| 0.0012        | 40.0  | 3240 | 0.8124          | {'precision': 0.7218905472636816, 'recall': 0.6368224709238535, 'f1-score': 0.6766934825696631, 'support': 4557.0} | {'precision': 0.8754237288135593, 'recall': 0.9105332745702953, 'f1-score': 0.8926333981421473, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9050861033239888, 'recall': 0.9329847254713086, 'f1-score': 0.9188236888467272, 'support': 14534.0} | 0.9126   | {'precision': 0.8756000948503074, 'recall': 0.870039954702795, 'f1-score': 0.8720150588304654, 'support': 32431.0}  | {'precision': 0.9096701640488858, 'recall': 0.9126144738059264, 'f1-score': 0.9106490945027469, 'support': 32431.0} |
-| 0.0012        | 41.0  | 3321 | 0.8042          | {'precision': 0.7228620436167607, 'recall': 0.6473557164801405, 'f1-score': 0.6830284788145403, 'support': 4557.0} | {'precision': 0.9088078291814946, 'recall': 0.9003966505068312, 'f1-score': 0.9045826876245294, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9038717402873869, 'recall': 0.9348424384202559, 'f1-score': 0.9190962592166678, 'support': 14534.0} | 0.9142   | {'precision': 0.8838854032714106, 'recall': 0.8706261198325222, 'f1-score': 0.876665565144344, 'support': 32431.0}  | {'precision': 0.911598136675134, 'recall': 0.9142487126514754, 'f1-score': 0.9125128397228092, 'support': 32431.0}  |
-| 0.0012        | 42.0  | 3402 | 0.7728          | {'precision': 0.6918211559432933, 'recall': 0.696071977177968, 'f1-score': 0.6939400568803326, 'support': 4557.0}  | {'precision': 0.8922808547754034, 'recall': 0.9017188188629353, 'f1-score': 0.8969750109601051, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9183870745011393, 'recall': 0.9151644419980735, 'f1-score': 0.9167729262156668, 'support': 14534.0} | 0.9124   | {'precision': 0.8756222713049591, 'recall': 0.8782162279904596, 'f1-score': 0.8769107072444358, 'support': 32431.0} | {'precision': 0.9125852427590434, 'recall': 0.9123677962443342, 'f1-score': 0.9124725980114123, 'support': 32431.0} |
-| 0.0012        | 43.0  | 3483 | 0.7433          | {'precision': 0.7181797702185176, 'recall': 0.6995830590300637, 'f1-score': 0.7087594486438418, 'support': 4557.0} | {'precision': 0.9005281690140845, 'recall': 0.9017188188629353, 'f1-score': 0.9011231006386258, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9189078498293516, 'recall': 0.9262419155084629, 'f1-score': 0.9225603070175438, 'support': 14534.0} | 0.9178   | {'precision': 0.8844039472654884, 'recall': 0.8818633668310809, 'f1-score': 0.8830994228054124, 'support': 32431.0} | {'precision': 0.9170993900218476, 'recall': 0.9178255372945638, 'f1-score': 0.9174387654537162, 'support': 32431.0} |
-| 0.0009        | 44.0  | 3564 | 0.7703          | {'precision': 0.7382999044890163, 'recall': 0.6785165679174896, 'f1-score': 0.7071469411092054, 'support': 4557.0} | {'precision': 0.9092534644613322, 'recall': 0.8964301454385192, 'f1-score': 0.9027962716378164, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9999096739228616, 'f1-score': 0.9999548349216385, 'support': 11071.0}                | {'precision': 0.9130289234065345, 'recall': 0.9382826475849732, 'f1-score': 0.9254835425856802, 'support': 14534.0} | 0.9199   | {'precision': 0.8901455730892207, 'recall': 0.8782847587159609, 'f1-score': 0.8838453975635852, 'support': 32431.0} | {'precision': 0.9179023510964751, 'recall': 0.9198914618728994, 'f1-score': 0.9186392999395205, 'support': 32431.0} |
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-| 0.0009        | 46.0  | 3726 | 0.7502          | {'precision': 0.7151016678090016, 'recall': 0.6868553873162168, 'f1-score': 0.7006939780613387, 'support': 4557.0} | {'precision': 0.8867761452031115, 'recall': 0.9043631555751432, 'f1-score': 0.8954833078769365, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9994580435371692, 'f1-score': 0.9997289483194796, 'support': 11071.0}                | {'precision': 0.9169335604770017, 'recall': 0.9258290904086969, 'f1-score': 0.9213598548392617, 'support': 14534.0} | 0.9159   | {'precision': 0.8797028433722787, 'recall': 0.8791264192093065, 'f1-score': 0.8793165222742542, 'support': 32431.0} | {'precision': 0.9148199482484113, 'recall': 0.9158829514970245, 'f1-score': 0.9152957787511048, 'support': 32431.0} |
-| 0.0009        | 47.0  | 3807 | 0.7463          | {'precision': 0.7113035753941817, 'recall': 0.7028746982664034, 'f1-score': 0.7070640176600441, 'support': 4557.0} | {'precision': 0.8820490744726647, 'recall': 0.9030409872190392, 'f1-score': 0.8924216027874564, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9990064131514769, 'f1-score': 0.9995029596493606, 'support': 11071.0}                | {'precision': 0.9212100378136817, 'recall': 0.9219072519609193, 'f1-score': 0.921558513016266, 'support': 14534.0}  | 0.9161   | {'precision': 0.8786406719201321, 'recall': 0.8817073376494596, 'f1-score': 0.8801367732782818, 'support': 32431.0} | {'precision': 0.9158720493550557, 'recall': 0.9161296290586167, 'f1-score': 0.9159885307162297, 'support': 32431.0} |
-| 0.0009        | 48.0  | 3888 | 0.7590          | {'precision': 0.7180132753490501, 'recall': 0.6883914856265086, 'f1-score': 0.702890432444544, 'support': 4557.0}  | {'precision': 0.8880726015557476, 'recall': 0.9056853239312472, 'f1-score': 0.8967924939995635, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.9997290217685846, 'f1-score': 0.9998644925245043, 'support': 11071.0}                | {'precision': 0.9176430517711172, 'recall': 0.926861153158112, 'f1-score': 0.9222290682549462, 'support': 14534.0}  | 0.9167   | {'precision': 0.8809322321689788, 'recall': 0.8801667461211131, 'f1-score': 0.8804441218058895, 'support': 32431.0} | {'precision': 0.9156377337466323, 'recall': 0.9167463229625975, 'f1-score': 0.916131816604205, 'support': 32431.0}  |
-| 0.0009        | 49.0  | 3969 | 0.7620          | {'precision': 0.7186425131850493, 'recall': 0.6877331577792407, 'f1-score': 0.7028481722359273, 'support': 4557.0} | {'precision': 0.8884083044982699, 'recall': 0.9052446011458792, 'f1-score': 0.8967474350578476, 'support': 2269.0} | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.917489277690789, 'recall': 0.927273978257878, 'f1-score': 0.9223556787461931, 'support': 14534.0}   | 0.9168   | {'precision': 0.8811350238435272, 'recall': 0.8800177712571802, 'f1-score': 0.8804652379508231, 'support': 32431.0} | {'precision': 0.9156807233032831, 'recall': 0.9168388270481946, 'f1-score': 0.9161948874715029, 'support': 32431.0} |
-| 0.0004        | 50.0  | 4050 | 0.7657          | {'precision': 0.7186853596874282, 'recall': 0.6861970594689488, 'f1-score': 0.7020655590480467, 'support': 4557.0} | {'precision': 0.8887445887445887, 'recall': 0.9048038783605112, 'f1-score': 0.89670233675475, 'support': 2269.0}   | {'precision': 1.0, 'recall': 0.999819347845723, 'f1-score': 0.9999096657633243, 'support': 11071.0}                 | {'precision': 0.9170804707162779, 'recall': 0.9276179991743498, 'f1-score': 0.9223191380194973, 'support': 14534.0} | 0.9167   | {'precision': 0.8811276047870737, 'recall': 0.8796095712123833, 'f1-score': 0.8802491748964045, 'support': 32431.0} | {'precision': 0.9155270641468799, 'recall': 0.9167463229625975, 'f1-score': 0.9160653885578494, 'support': 32431.0} |
+| No log        | 1.0   | 81   | 0.2860          | {'precision': 0.6267132491265789, 'recall': 0.4720647773279352, 'f1-score': 0.5385059461955894, 'support': 4940.0} | {'precision': 0.9588039867109635, 'recall': 0.6595063985374772, 'f1-score': 0.7814784727863526, 'support': 2188.0} | {'precision': 0.9996969237763298, 'recall': 0.9880925634688834, 'f1-score': 0.9938608715302625, 'support': 13353.0} | {'precision': 0.8455112497215416, 'recall': 0.954902824076986, 'f1-score': 0.8968837690149166, 'support': 15899.0}  | 0.8838   | {'precision': 0.8576813523338533, 'recall': 0.7686416408528204, 'f1-score': 0.8026822648817803, 'support': 36380.0} | {'precision': 0.8792073379911217, 'recall': 0.8837548103353491, 'f1-score': 0.8768739289107891, 'support': 36380.0} |
+| No log        | 2.0   | 162  | 0.2489          | {'precision': 0.6453172205438067, 'recall': 0.648582995951417, 'f1-score': 0.6469459868753155, 'support': 4940.0}  | {'precision': 0.9669226225634967, 'recall': 0.7481718464351006, 'f1-score': 0.8435970110796187, 'support': 2188.0} | {'precision': 0.9983541557567143, 'recall': 0.9994008836965476, 'f1-score': 0.998877245508982, 'support': 13353.0}  | {'precision': 0.8972179761540813, 'recall': 0.922951129001824, 'f1-score': 0.9099026477336144, 'support': 15899.0}  | 0.9032   | {'precision': 0.8769529937545246, 'recall': 0.8297767137712222, 'f1-score': 0.8498307227993828, 'support': 36380.0} | {'precision': 0.9043261520711511, 'recall': 0.903243540406817, 'f1-score': 0.9028656814459712, 'support': 36380.0}  |
+| No log        | 3.0   | 243  | 0.2430          | {'precision': 0.6698958142935478, 'recall': 0.7419028340080972, 'f1-score': 0.7040630102775911, 'support': 4940.0} | {'precision': 0.8392204628501827, 'recall': 0.9446983546617916, 'f1-score': 0.8888411094388303, 'support': 2188.0} | {'precision': 0.9988769092542678, 'recall': 0.9991013255448213, 'f1-score': 0.998989104796136, 'support': 13353.0}  | {'precision': 0.9390987408880053, 'recall': 0.8913139191144097, 'f1-score': 0.914582593823615, 'support': 15899.0}  | 0.9138   | {'precision': 0.8617729818215009, 'recall': 0.8942541083322799, 'f1-score': 0.8766189545840432, 'support': 36380.0} | {'precision': 0.9184781183611038, 'recall': 0.9137987905442551, 'f1-score': 0.9154289662937856, 'support': 36380.0} |
+| No log        | 4.0   | 324  | 0.2398          | {'precision': 0.6754352763058289, 'recall': 0.7224696356275304, 'f1-score': 0.6981611893583725, 'support': 4940.0} | {'precision': 0.8836187966622749, 'recall': 0.9195612431444241, 'f1-score': 0.901231802911534, 'support': 2188.0}  | {'precision': 0.9998499399759904, 'recall': 0.9979779824758481, 'f1-score': 0.9989130842172332, 'support': 13353.0} | {'precision': 0.9266670970240785, 'recall': 0.9028869740235235, 'f1-score': 0.9146224912392481, 'support': 15899.0} | 0.9143   | {'precision': 0.8713927774920431, 'recall': 0.8857239588178316, 'f1-score': 0.8782321419315969, 'support': 36380.0} | {'precision': 0.9168247558035478, 'recall': 0.9142935678944475, 'f1-score': 0.9153623106642749, 'support': 36380.0} |
+| No log        | 5.0   | 405  | 0.2933          | {'precision': 0.6450999048525214, 'recall': 0.6862348178137652, 'f1-score': 0.6650318783717509, 'support': 4940.0} | {'precision': 0.8916702632714717, 'recall': 0.9442413162705667, 'f1-score': 0.9172031076581575, 'support': 2188.0} | {'precision': 0.9992495872730002, 'recall': 0.9972290870965326, 'f1-score': 0.9982383147794145, 'support': 13353.0} | {'precision': 0.9119622787753521, 'recall': 0.8880432731618341, 'f1-score': 0.8998438545616774, 'support': 15899.0} | 0.9041   | {'precision': 0.8619955085430864, 'recall': 0.8789371235856747, 'f1-score': 0.87007928884275, 'support': 36380.0}   | {'precision': 0.9065430476942037, 'recall': 0.9040956569543706, 'f1-score': 0.9051179642561333, 'support': 36380.0} |
+| No log        | 6.0   | 486  | 0.3605          | {'precision': 0.5740163325909429, 'recall': 0.7825910931174089, 'f1-score': 0.6622698072805139, 'support': 4940.0} | {'precision': 0.8842767295597485, 'recall': 0.9638939670932358, 'f1-score': 0.9223704351629127, 'support': 2188.0} | {'precision': 0.9993994444861497, 'recall': 0.9970044184827379, 'f1-score': 0.9982004948639124, 'support': 13353.0} | {'precision': 0.9398091685199799, 'recall': 0.8239511918988616, 'f1-score': 0.8780749379985253, 'support': 15899.0} | 0.8903   | {'precision': 0.8493754187892053, 'recall': 0.8918601676480611, 'f1-score': 0.865228918826466, 'support': 36380.0}  | {'precision': 0.9086708334194257, 'recall': 0.8902693787795491, 'f1-score': 0.8955262233990811, 'support': 36380.0} |
+| 0.2104        | 7.0   | 567  | 0.3641          | {'precision': 0.7110973341599504, 'recall': 0.6965587044534413, 'f1-score': 0.7037529399734124, 'support': 4940.0} | {'precision': 0.8959687906371911, 'recall': 0.9446983546617916, 'f1-score': 0.9196885428253615, 'support': 2188.0} | {'precision': 0.9996248780853777, 'recall': 0.997828203399985, 'f1-score': 0.9987257327036954, 'support': 13353.0}  | {'precision': 0.9187048098082364, 'recall': 0.9190515126737531, 'f1-score': 0.9188781285372909, 'support': 15899.0} | 0.9193   | {'precision': 0.8813489531726889, 'recall': 0.8895341937972427, 'f1-score': 0.8852613360099401, 'support': 36380.0} | {'precision': 0.9188476996393494, 'recall': 0.9192963166575041, 'f1-score': 0.9190227083446231, 'support': 36380.0} |
+| 0.2104        | 8.0   | 648  | 0.3522          | {'precision': 0.6562390158172232, 'recall': 0.7558704453441295, 'f1-score': 0.7025399811853246, 'support': 4940.0} | {'precision': 0.8848641655886158, 'recall': 0.9378427787934186, 'f1-score': 0.9105835367206567, 'support': 2188.0} | {'precision': 0.9991005172026085, 'recall': 0.9982026510896428, 'f1-score': 0.9986513823331086, 'support': 13353.0} | {'precision': 0.9345974717232203, 'recall': 0.8835146864582678, 'f1-score': 0.9083384525849526, 'support': 15899.0} | 0.9115   | {'precision': 0.8687002925829169, 'recall': 0.8938576404213647, 'f1-score': 0.8800283382060107, 'support': 36380.0} | {'precision': 0.9174837257168467, 'recall': 0.911544804837823, 'f1-score': 0.9136769997620249, 'support': 36380.0}  |
+| 0.2104        | 9.0   | 729  | 0.4436          | {'precision': 0.6275594908688434, 'recall': 0.6886639676113361, 'f1-score': 0.6566933693658913, 'support': 4940.0} | {'precision': 0.7706131078224101, 'recall': 0.9995429616087751, 'f1-score': 0.8702745722244328, 'support': 2188.0} | {'precision': 0.9983537862915295, 'recall': 0.9991762150827529, 'f1-score': 0.9987648313807688, 'support': 13353.0} | {'precision': 0.9350138917124077, 'recall': 0.8678533241084345, 'f1-score': 0.9001826722338205, 'support': 15899.0} | 0.8996   | {'precision': 0.8328850691737977, 'recall': 0.8888091171028246, 'f1-score': 0.8564788613012284, 'support': 36380.0} | {'precision': 0.90662587513727, 'recall': 0.8996426608026388, 'f1-score': 0.9015045934020747, 'support': 36380.0}   |
+| 0.2104        | 10.0  | 810  | 0.4409          | {'precision': 0.7145572025845686, 'recall': 0.7611336032388664, 'f1-score': 0.7371103705155853, 'support': 4940.0} | {'precision': 0.9194187582562747, 'recall': 0.9542961608775137, 'f1-score': 0.9365328549002018, 'support': 2188.0} | {'precision': 0.9993257416841475, 'recall': 0.9989515464689583, 'f1-score': 0.9991386090408599, 'support': 13353.0} | {'precision': 0.9344473837021743, 'recall': 0.9109377948298635, 'f1-score': 0.9225428371233836, 'support': 15899.0} | 0.9255   | {'precision': 0.8919372715567913, 'recall': 0.9063297763538004, 'f1-score': 0.8988311678950076, 'support': 36380.0} | {'precision': 0.927497977075915, 'recall': 0.9255085211654756, 'f1-score': 0.9263184587909816, 'support': 36380.0}  |
+| 0.2104        | 11.0  | 891  | 0.4955          | {'precision': 0.7086579123080348, 'recall': 0.6445344129554655, 'f1-score': 0.6750768578394996, 'support': 4940.0} | {'precision': 0.8220211161387632, 'recall': 0.9963436928702011, 'f1-score': 0.9008264462809917, 'support': 2188.0} | {'precision': 0.9998499849984999, 'recall': 0.9982775406275743, 'f1-score': 0.9990631440884392, 'support': 13353.0} | {'precision': 0.9167452681883921, 'recall': 0.9169759104346186, 'f1-score': 0.9168605748066159, 'support': 15899.0} | 0.9146   | {'precision': 0.8618185704084225, 'recall': 0.8890328892219649, 'f1-score': 0.8729567557538865, 'support': 36380.0} | {'precision': 0.9132952764575458, 'recall': 0.9145959318306762, 'f1-score': 0.9132365141301059, 'support': 36380.0} |
+| 0.2104        | 12.0  | 972  | 0.5210          | {'precision': 0.6866247209255125, 'recall': 0.6848178137651821, 'f1-score': 0.6857200770244248, 'support': 4940.0} | {'precision': 0.8543537680593518, 'recall': 1.0, 'f1-score': 0.9214571488734471, 'support': 2188.0}                | {'precision': 0.9979811574697174, 'recall': 0.9995506627724107, 'f1-score': 0.9987652935234033, 'support': 13353.0} | {'precision': 0.9239592731022039, 'recall': 0.9018177243851815, 'f1-score': 0.9127542413343095, 'support': 15899.0} | 0.9141   | {'precision': 0.8657297298891964, 'recall': 0.8965465502306935, 'f1-score': 0.8796741901888963, 'support': 36380.0} | {'precision': 0.9147147620844138, 'recall': 0.91412864211105, 'f1-score': 0.9140186385274314, 'support': 36380.0}   |
+| 0.0286        | 13.0  | 1053 | 0.5909          | {'precision': 0.7079991774624718, 'recall': 0.6969635627530364, 'f1-score': 0.7024380291747424, 'support': 4940.0} | {'precision': 0.8643507030603805, 'recall': 0.9552102376599635, 'f1-score': 0.9075119409465915, 'support': 2188.0} | {'precision': 0.9985774183887391, 'recall': 0.9988017673930952, 'f1-score': 0.9986895802912875, 'support': 13353.0} | {'precision': 0.9246014101505431, 'recall': 0.9155292785709793, 'f1-score': 0.9200429808482398, 'support': 15899.0} | 0.9188   | {'precision': 0.8738821772655336, 'recall': 0.8916262115942686, 'f1-score': 0.8821706328152152, 'support': 36380.0} | {'precision': 0.918717904416961, 'recall': 0.9188015393073117, 'f1-score': 0.9186076225687217, 'support': 36380.0}  |
+| 0.0286        | 14.0  | 1134 | 0.5594          | {'precision': 0.7137881581643106, 'recall': 0.7052631578947368, 'f1-score': 0.7095000509113125, 'support': 4940.0} | {'precision': 0.9252767527675276, 'recall': 0.916819012797075, 'f1-score': 0.921028466483012, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.9989515464689583, 'f1-score': 0.9994754982766372, 'support': 13353.0}                | {'precision': 0.9180215107553776, 'recall': 0.9233914082646707, 'f1-score': 0.9206986297074409, 'support': 15899.0} | 0.9211   | {'precision': 0.889271605421804, 'recall': 0.8861062813563602, 'f1-score': 0.8876756613446006, 'support': 36380.0}  | {'precision': 0.9208148168193181, 'recall': 0.9211105002748763, 'f1-score': 0.9209544908843665, 'support': 36380.0} |
+| 0.0286        | 15.0  | 1215 | 0.6214          | {'precision': 0.6282454109475774, 'recall': 0.7690283400809717, 'f1-score': 0.6915445526531356, 'support': 4940.0} | {'precision': 0.9042918454935622, 'recall': 0.9629798903107861, 'f1-score': 0.9327135900841081, 'support': 2188.0} | {'precision': 0.9998501199040767, 'recall': 0.9991762150827529, 'f1-score': 0.9995130539011873, 'support': 13353.0} | {'precision': 0.936421311139914, 'recall': 0.8633876344424177, 'f1-score': 0.8984226716408141, 'support': 15899.0}  | 0.9064   | {'precision': 0.8672021718712826, 'recall': 0.898643019979232, 'f1-score': 0.8805484670698113, 'support': 36380.0}  | {'precision': 0.9159231436204942, 'recall': 0.9064046179219352, 'f1-score': 0.9094977265082566, 'support': 36380.0} |
+| 0.0286        | 16.0  | 1296 | 0.6214          | {'precision': 0.6727738376674547, 'recall': 0.6912955465587044, 'f1-score': 0.6819089456869009, 'support': 4940.0} | {'precision': 0.9244343891402715, 'recall': 0.9337294332723949, 'f1-score': 0.9290586630286495, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9996255523103422, 'f1-score': 0.9998127410958391, 'support': 13353.0}                | {'precision': 0.9131843007748, 'recall': 0.9043965029247123, 'f1-score': 0.9087691578448412, 'support': 15899.0}    | 0.9122   | {'precision': 0.8775981318956315, 'recall': 0.8822617587665385, 'f1-score': 0.8798873769140577, 'support': 36380.0} | {'precision': 0.9130808795913876, 'recall': 0.9121770203408466, 'f1-score': 0.9126011797368843, 'support': 36380.0} |
+| 0.0286        | 17.0  | 1377 | 0.6075          | {'precision': 0.7524590163934426, 'recall': 0.6504048582995952, 'f1-score': 0.6977198697068404, 'support': 4940.0} | {'precision': 0.8998309382924767, 'recall': 0.9730347349177331, 'f1-score': 0.935002195871761, 'support': 2188.0}  | {'precision': 0.9994757732344791, 'recall': 0.9994757732344791, 'f1-score': 0.9994757732344791, 'support': 13353.0} | {'precision': 0.908120309926179, 'recall': 0.9362224039247752, 'f1-score': 0.9219572623103128, 'support': 15899.0}  | 0.9228   | {'precision': 0.8899715094616443, 'recall': 0.8897844425941457, 'f1-score': 0.8885387752808483, 'support': 36380.0} | {'precision': 0.9200160099363349, 'recall': 0.9228422210005498, 'f1-score': 0.9207454500932067, 'support': 36380.0} |
+| 0.0286        | 18.0  | 1458 | 0.6335          | {'precision': 0.7486433152442032, 'recall': 0.6143724696356275, 'f1-score': 0.6748943740271293, 'support': 4940.0} | {'precision': 0.8974247053688346, 'recall': 0.9396709323583181, 'f1-score': 0.9180620674257648, 'support': 2188.0} | {'precision': 0.9998501984870047, 'recall': 0.9997004418482738, 'f1-score': 0.9997753145596164, 'support': 13353.0} | {'precision': 0.898945097099017, 'recall': 0.9433297691678721, 'f1-score': 0.9206027683147655, 'support': 15899.0}  | 0.9191   | {'precision': 0.8862158290497649, 'recall': 0.874268403252523, 'f1-score': 0.878333631081819, 'support': 36380.0}   | {'precision': 0.9154807870211, 'recall': 0.9191313908741067, 'f1-score': 0.9161451676737934, 'support': 36380.0}    |
+| 0.0091        | 19.0  | 1539 | 0.6328          | {'precision': 0.7439243924392439, 'recall': 0.6692307692307692, 'f1-score': 0.7046035805626598, 'support': 4940.0} | {'precision': 0.8727272727272727, 'recall': 0.9872029250457038, 'f1-score': 0.9264422045893201, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9153078306156612, 'recall': 0.9285489653437323, 'f1-score': 0.921880854252529, 'support': 15899.0}  | 0.9225   | {'precision': 0.8829898739455444, 'recall': 0.8958524948309107, 'f1-score': 0.8880349201096995, 'support': 36380.0} | {'precision': 0.9205605544347316, 'recall': 0.9225123694337548, 'f1-score': 0.9210355324440019, 'support': 36380.0} |
+| 0.0091        | 20.0  | 1620 | 0.6888          | {'precision': 0.7153778942769768, 'recall': 0.6629554655870445, 'f1-score': 0.6881697835679765, 'support': 4940.0} | {'precision': 0.8919597989949749, 'recall': 0.973491773308958, 'f1-score': 0.9309440559440559, 'support': 2188.0}  | {'precision': 0.9997753313862053, 'recall': 0.9997753313862053, 'f1-score': 0.9997753313862053, 'support': 13353.0} | {'precision': 0.9115248116555632, 'recall': 0.92081262972514, 'f1-score': 0.9161451814768461, 'support': 15899.0}   | 0.9179   | {'precision': 0.87965945907843, 'recall': 0.8892588000018369, 'f1-score': 0.883758588093771, 'support': 36380.0}    | {'precision': 0.9161052176591827, 'recall': 0.9179494227597581, 'f1-score': 0.916774507023963, 'support': 36380.0}  |
+| 0.0091        | 21.0  | 1701 | 0.7242          | {'precision': 0.7307692307692307, 'recall': 0.573076923076923, 'f1-score': 0.6423871114136601, 'support': 4940.0}  | {'precision': 0.9239130434782609, 'recall': 0.8546617915904936, 'f1-score': 0.8879392212725545, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9970044184827379, 'f1-score': 0.9984999624990625, 'support': 13353.0}                | {'precision': 0.883336245558856, 'recall': 0.9538964714761935, 'f1-score': 0.9172614007499698, 'support': 15899.0}  | 0.9120   | {'precision': 0.8845046299515869, 'recall': 0.844659901156587, 'f1-score': 0.8615219239838117, 'support': 36380.0}  | {'precision': 0.9078802833224489, 'recall': 0.9120395821880154, 'f1-score': 0.9079909938510604, 'support': 36380.0} |
+| 0.0091        | 22.0  | 1782 | 0.7164          | {'precision': 0.7086419753086419, 'recall': 0.6390688259109312, 'f1-score': 0.6720596061734965, 'support': 4940.0} | {'precision': 0.8903625110521662, 'recall': 0.9204753199268738, 'f1-score': 0.9051685393258427, 'support': 2188.0} | {'precision': 0.9995507973347308, 'recall': 0.9998502209241369, 'f1-score': 0.9997004867090977, 'support': 13353.0} | {'precision': 0.9051882742548755, 'recall': 0.9283602742310837, 'f1-score': 0.9166278528178853, 'support': 15899.0} | 0.9148   | {'precision': 0.8759358894876037, 'recall': 0.8719386602482564, 'f1-score': 0.8733891212565805, 'support': 36380.0} | {'precision': 0.9122428450081295, 'recall': 0.9148433205057724, 'f1-score': 0.9132201772820274, 'support': 36380.0} |
+| 0.0091        | 23.0  | 1863 | 0.6954          | {'precision': 0.6750700280112045, 'recall': 0.7317813765182186, 'f1-score': 0.7022826614861584, 'support': 4940.0} | {'precision': 0.8772901576480614, 'recall': 0.9410420475319927, 'f1-score': 0.9080485115766262, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9977533138620535, 'f1-score': 0.9988753936122357, 'support': 13353.0}                | {'precision': 0.9295994789970694, 'recall': 0.8977923139820114, 'f1-score': 0.9134190823574582, 'support': 15899.0} | 0.9145   | {'precision': 0.8704899161640838, 'recall': 0.892092262973569, 'f1-score': 0.8806564122581195, 'support': 36380.0}  | {'precision': 0.9177311412832249, 'recall': 0.9145409565695437, 'f1-score': 0.9157921828580727, 'support': 36380.0} |
+| 0.0091        | 24.0  | 1944 | 0.7690          | {'precision': 0.6463308349311487, 'recall': 0.7506072874493928, 'f1-score': 0.6945771284068559, 'support': 4940.0} | {'precision': 0.8826677645121449, 'recall': 0.979890310786106, 'f1-score': 0.9287416071041802, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9339381720430108, 'recall': 0.8740801308258381, 'f1-score': 0.9030182916923878, 'support': 15899.0} | 0.9094   | {'precision': 0.8657341928715762, 'recall': 0.9007887069601594, 'f1-score': 0.8814062675176844, 'support': 36380.0} | {'precision': 0.9160482240413489, 'recall': 0.9093732820230896, 'f1-score': 0.911596446033489, 'support': 36380.0}  |
+| 0.0045        | 25.0  | 2025 | 0.7267          | {'precision': 0.7481386392811297, 'recall': 0.5898785425101215, 'f1-score': 0.6596491228070176, 'support': 4940.0} | {'precision': 0.9177897574123989, 'recall': 0.9337294332723949, 'f1-score': 0.9256909832351607, 'support': 2188.0} | {'precision': 0.9999251048532055, 'recall': 0.9998502209241369, 'f1-score': 0.9998876614866129, 'support': 13353.0} | {'precision': 0.8901046903649376, 'recall': 0.9465375180828983, 'f1-score': 0.9174541242455649, 'support': 15899.0} | 0.9169   | {'precision': 0.888989547977918, 'recall': 0.867498928697388, 'f1-score': 0.8756704729435891, 'support': 36380.0}   | {'precision': 0.9128010792876335, 'recall': 0.9169048927982408, 'f1-score': 0.9131990545133639, 'support': 36380.0} |
+| 0.0045        | 26.0  | 2106 | 0.6803          | {'precision': 0.6994106090373281, 'recall': 0.7206477732793523, 'f1-score': 0.7098703888334996, 'support': 4940.0} | {'precision': 0.8851976450798991, 'recall': 0.9620658135283364, 'f1-score': 0.9220324134910205, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9991013255448213, 'f1-score': 0.9995504607777028, 'support': 13353.0}                | {'precision': 0.9268511977393873, 'recall': 0.9077300459148374, 'f1-score': 0.9171909755322529, 'support': 15899.0} | 0.9191   | {'precision': 0.8778648629641536, 'recall': 0.8973862395668368, 'f1-score': 0.887161059658619, 'support': 36380.0}  | {'precision': 0.9203108314716255, 'recall': 0.9191313908741067, 'f1-score': 0.9195597378864155, 'support': 36380.0} |
+| 0.0045        | 27.0  | 2187 | 0.6693          | {'precision': 0.7271731990365666, 'recall': 0.6722672064777327, 'f1-score': 0.698643105080467, 'support': 4940.0}  | {'precision': 0.8932754880694144, 'recall': 0.9410420475319927, 'f1-score': 0.9165368350767862, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9983524301655059, 'f1-score': 0.9991755359016639, 'support': 13353.0}                | {'precision': 0.9127155838536193, 'recall': 0.9286747594188314, 'f1-score': 0.9206260132186058, 'support': 15899.0} | 0.9202   | {'precision': 0.8832910677399001, 'recall': 0.8850841108985157, 'f1-score': 0.8837453723193808, 'support': 36380.0} | {'precision': 0.918388879571886, 'recall': 0.9201759208356239, 'f1-score': 0.9190682641369721, 'support': 36380.0}  |
+| 0.0045        | 28.0  | 2268 | 0.6845          | {'precision': 0.7188900747065101, 'recall': 0.6817813765182186, 'f1-score': 0.6998441558441558, 'support': 4940.0} | {'precision': 0.9094219390077378, 'recall': 0.9131627056672761, 'f1-score': 0.9112884834663626, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9139372175097518, 'recall': 0.9284231712686333, 'f1-score': 0.9211232449297972, 'support': 15899.0} | 0.9201   | {'precision': 0.8855435770050709, 'recall': 0.8807107566721517, 'f1-score': 0.8829890646930376, 'support': 36380.0} | {'precision': 0.9187416037176308, 'recall': 0.9200934579439253, 'f1-score': 0.9193256433193232, 'support': 36380.0} |
+| 0.0045        | 29.0  | 2349 | 0.7010          | {'precision': 0.6914387633769322, 'recall': 0.7062753036437247, 'f1-score': 0.6987782896054476, 'support': 4940.0} | {'precision': 0.8771560790912916, 'recall': 0.9529250457038391, 'f1-score': 0.9134720700985761, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9233625712273513, 'recall': 0.907101075539342, 'f1-score': 0.9151595913446284, 'support': 15899.0}  | 0.9162   | {'precision': 0.8729706099840976, 'recall': 0.8912757980700003, 'f1-score': 0.8816932580592669, 'support': 36380.0} | {'precision': 0.9171925615027781, 'recall': 0.916245189664651, 'f1-score': 0.9165821661881187, 'support': 36380.0}  |
+| 0.0045        | 30.0  | 2430 | 0.7106          | {'precision': 0.7097318978256281, 'recall': 0.6805668016194332, 'f1-score': 0.6948434432158727, 'support': 4940.0} | {'precision': 0.8985126859142607, 'recall': 0.9387568555758684, 'f1-score': 0.9181940098345999, 'support': 2188.0} | {'precision': 0.9999250543356066, 'recall': 0.9991762150827529, 'f1-score': 0.9995504944560982, 'support': 13353.0} | {'precision': 0.91476208317722, 'recall': 0.9213787030630858, 'f1-score': 0.9180584714693073, 'support': 15899.0}   | 0.9183   | {'precision': 0.8807329303131789, 'recall': 0.8849696438352851, 'f1-score': 0.8826616047439695, 'support': 36380.0} | {'precision': 0.9172023898575309, 'recall': 0.9182792743265531, 'f1-score': 0.917667523182169, 'support': 36380.0}  |
+| 0.0031        | 31.0  | 2511 | 0.6843          | {'precision': 0.7165338238299611, 'recall': 0.7097165991902834, 'f1-score': 0.7131089189464049, 'support': 4940.0} | {'precision': 0.8918217221981826, 'recall': 0.9419561243144424, 'f1-score': 0.9162036008001779, 'support': 2188.0} | {'precision': 0.9999250374812594, 'recall': 0.9989515464689583, 'f1-score': 0.9994380549207659, 'support': 13353.0} | {'precision': 0.9235918161151806, 'recall': 0.9199320711994465, 'f1-score': 0.9217583110130771, 'support': 15899.0} | 0.9217   | {'precision': 0.882968099906146, 'recall': 0.8926390852932827, 'f1-score': 0.8876272214201064, 'support': 36380.0}  | {'precision': 0.9215824169266671, 'recall': 0.9217152281473338, 'f1-score': 0.9216037183150064, 'support': 36380.0} |
+| 0.0031        | 32.0  | 2592 | 0.7217          | {'precision': 0.720086862106406, 'recall': 0.671255060728745, 'f1-score': 0.6948140387637506, 'support': 4940.0}   | {'precision': 0.8846646732165742, 'recall': 0.946526508226691, 'f1-score': 0.9145506734378449, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9131946600434647, 'recall': 0.9250267312409586, 'f1-score': 0.9190726159230096, 'support': 15899.0} | 0.9187   | {'precision': 0.8794865488416111, 'recall': 0.8852527378215094, 'f1-score': 0.8818844613318033, 'support': 36380.0} | {'precision': 0.9171181227002353, 'recall': 0.918719076415613, 'f1-score': 0.9177224560676552, 'support': 36380.0}  |
+| 0.0031        | 33.0  | 2673 | 0.7048          | {'precision': 0.7463226974428604, 'recall': 0.6676113360323886, 'f1-score': 0.7047761512982157, 'support': 4940.0} | {'precision': 0.8873358746293943, 'recall': 0.9574954296160878, 'f1-score': 0.921081556386019, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9127842655193608, 'recall': 0.9340839046480911, 'f1-score': 0.9233112623954739, 'support': 15899.0} | 0.9229   | {'precision': 0.8866107093979039, 'recall': 0.8893670527310353, 'f1-score': 0.8870767495093961, 'support': 36380.0} | {'precision': 0.9206619586736987, 'recall': 0.922869708631116, 'f1-score': 0.9213341528568705, 'support': 36380.0}  |
+| 0.0031        | 34.0  | 2754 | 0.7385          | {'precision': 0.7408897831433042, 'recall': 0.6708502024291498, 'f1-score': 0.704132582598534, 'support': 4940.0}  | {'precision': 0.8869675242513707, 'recall': 0.9611517367458866, 'f1-score': 0.9225707391971923, 'support': 2188.0} | {'precision': 0.9999249699879952, 'recall': 0.9980528720137797, 'f1-score': 0.9989880439263896, 'support': 13353.0} | {'precision': 0.9134378084896347, 'recall': 0.9311906409208126, 'f1-score': 0.9222287974584982, 'support': 15899.0} | 0.9222   | {'precision': 0.8853050214680762, 'recall': 0.8903113630274071, 'f1-score': 0.8869800407951536, 'support': 36380.0} | {'precision': 0.9201601515452535, 'recall': 0.9221825178669598, 'f1-score': 0.9208082115651994, 'support': 36380.0} |
+| 0.0031        | 35.0  | 2835 | 0.7338          | {'precision': 0.7179064496187925, 'recall': 0.7052631578947368, 'f1-score': 0.7115286429081996, 'support': 4940.0} | {'precision': 0.9028021015761821, 'recall': 0.9424131627056673, 'f1-score': 0.9221824686940967, 'support': 2188.0} | {'precision': 0.9999250262408157, 'recall': 0.9988017673930952, 'f1-score': 0.9993630811884155, 'support': 13353.0} | {'precision': 0.9207167557371896, 'recall': 0.9210642178753381, 'f1-score': 0.9208904540309396, 'support': 15899.0} | 0.9216   | {'precision': 0.8853375832932451, 'recall': 0.8918855764672093, 'f1-score': 0.8884911617054129, 'support': 36380.0} | {'precision': 0.9211727167186562, 'recall': 0.9215777899945025, 'f1-score': 0.9213419265864765, 'support': 36380.0} |
+| 0.0031        | 36.0  | 2916 | 0.7660          | {'precision': 0.6856398809523809, 'recall': 0.7461538461538462, 'f1-score': 0.7146180690189995, 'support': 4940.0} | {'precision': 0.893299189073837, 'recall': 0.956581352833638, 'f1-score': 0.9238578680203046, 'support': 2188.0}   | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9318893528183716, 'recall': 0.8984212843575068, 'f1-score': 0.9148493291062222, 'support': 15899.0} | 0.9180   | {'precision': 0.8777071057111474, 'recall': 0.89991467314659, 'f1-score': 0.8881439523753982, 'support': 36380.0}   | {'precision': 0.9211299741082354, 'recall': 0.9179769103903244, 'f1-score': 0.9191807659449058, 'support': 36380.0} |
+| 0.0031        | 37.0  | 2997 | 0.7609          | {'precision': 0.7443946188340808, 'recall': 0.6720647773279352, 'f1-score': 0.7063829787234043, 'support': 4940.0} | {'precision': 0.875306623058054, 'recall': 0.9785191956124314, 'f1-score': 0.9240397065170479, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9975286452482588, 'f1-score': 0.9987627938364638, 'support': 13353.0}                | {'precision': 0.9151293797201931, 'recall': 0.9298069060947229, 'f1-score': 0.9224097588369263, 'support': 15899.0} | 0.9226   | {'precision': 0.883707655403082, 'recall': 0.8944798810708371, 'f1-score': 0.8878988094784606, 'support': 36380.0}  | {'precision': 0.9207015480061224, 'recall': 0.9225948323254536, 'f1-score': 0.9211985468554017, 'support': 36380.0} |
+| 0.0007        | 38.0  | 3078 | 0.7454          | {'precision': 0.7367860187553282, 'recall': 0.6997975708502024, 'f1-score': 0.7178156146179401, 'support': 4940.0} | {'precision': 0.8893097643097643, 'recall': 0.9657221206581352, 'f1-score': 0.9259421560035057, 'support': 2188.0} | {'precision': 0.9999250767962838, 'recall': 0.9994757732344791, 'f1-score': 0.9997003745318352, 'support': 13353.0} | {'precision': 0.9218290009395553, 'recall': 0.9256557016164538, 'f1-score': 0.9237383881496359, 'support': 15899.0} | 0.9245   | {'precision': 0.8869624652002329, 'recall': 0.8976627915898177, 'f1-score': 0.8917991333257291, 'support': 36380.0} | {'precision': 0.9234109822253945, 'recall': 0.9244914788345244, 'f1-score': 0.9237901678906805, 'support': 36380.0} |
+| 0.0007        | 39.0  | 3159 | 0.7313          | {'precision': 0.7448151487826871, 'recall': 0.668825910931174, 'f1-score': 0.704778156996587, 'support': 4940.0}   | {'precision': 0.8852459016393442, 'recall': 0.9625228519195612, 'f1-score': 0.9222684475585724, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9137453021994948, 'recall': 0.9328259638971005, 'f1-score': 0.9231870525988172, 'support': 15899.0} | 0.9229   | {'precision': 0.8859515881553816, 'recall': 0.8906879563817841, 'f1-score': 0.8873804250053225, 'support': 36380.0} | {'precision': 0.9207515510567105, 'recall': 0.9228971962616822, 'f1-score': 0.9214065872594044, 'support': 36380.0} |
+| 0.0007        | 40.0  | 3240 | 0.7378          | {'precision': 0.7307852098047362, 'recall': 0.7121457489878542, 'f1-score': 0.7213450891941768, 'support': 4940.0} | {'precision': 0.8979416809605489, 'recall': 0.9570383912248629, 'f1-score': 0.9265486725663717, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.9231446540880504, 'recall': 0.9232027171520222, 'f1-score': 0.9231736847070662, 'support': 15899.0} | 0.9242   | {'precision': 0.8879678862133338, 'recall': 0.89774098903601, 'f1-score': 0.8925888723337321, 'support': 36380.0}   | {'precision': 0.9237177622243814, 'recall': 0.9242440901594282, 'f1-score': 0.9239077758592451, 'support': 36380.0} |
+| 0.0007        | 41.0  | 3321 | 0.7536          | {'precision': 0.731932232468368, 'recall': 0.6908906882591093, 'f1-score': 0.7108195355618034, 'support': 4940.0}  | {'precision': 0.8881469115191987, 'recall': 0.9725776965265083, 'f1-score': 0.9284467713787086, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9187566451935706, 'recall': 0.9239574816026165, 'f1-score': 0.9213497240341193, 'support': 15899.0} | 0.9226   | {'precision': 0.8847089472952844, 'recall': 0.8964632965229179, 'f1-score': 0.8899572680022301, 'support': 36380.0} | {'precision': 0.9213667557100144, 'recall': 0.9225673446948873, 'f1-score': 0.921768033007181, 'support': 36380.0}  |
+| 0.0007        | 42.0  | 3402 | 0.7416          | {'precision': 0.7358247422680413, 'recall': 0.6935222672064777, 'f1-score': 0.7140475197999167, 'support': 4940.0} | {'precision': 0.8910766652702137, 'recall': 0.9721206581352834, 'f1-score': 0.9298360655737705, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9985770987793006, 'f1-score': 0.9992880428673137, 'support': 13353.0}                | {'precision': 0.919265137786665, 'recall': 0.9252783193911567, 'f1-score': 0.9222619271519027, 'support': 15899.0}  | 0.9235   | {'precision': 0.88654163633123, 'recall': 0.8973745858780546, 'f1-score': 0.8913583888482258, 'support': 36380.0}   | {'precision': 0.9222937437076839, 'recall': 0.9235294117647059, 'f1-score': 0.9227160988312902, 'support': 36380.0} |
+| 0.0007        | 43.0  | 3483 | 0.7578          | {'precision': 0.7373890452478892, 'recall': 0.6894736842105263, 'f1-score': 0.7126268438121143, 'support': 4940.0} | {'precision': 0.8900961136648559, 'recall': 0.973491773308958, 'f1-score': 0.9299279633267845, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.9982775406275743, 'f1-score': 0.9991380279578758, 'support': 13353.0}                | {'precision': 0.9181319366504551, 'recall': 0.9261588779168501, 'f1-score': 0.9221279393806557, 'support': 15899.0} | 0.9233   | {'precision': 0.8864042738908001, 'recall': 0.8968504690159773, 'f1-score': 0.8909551936193576, 'support': 36380.0} | {'precision': 0.9219519472520303, 'recall': 0.9233369983507421, 'f1-score': 0.9224150958693075, 'support': 36380.0} |
+| 0.0003        | 44.0  | 3564 | 0.7405          | {'precision': 0.7482868889904066, 'recall': 0.6631578947368421, 'f1-score': 0.7031551835157759, 'support': 4940.0} | {'precision': 0.8901098901098901, 'recall': 0.9625228519195612, 'f1-score': 0.924901185770751, 'support': 2188.0}  | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9114273446604919, 'recall': 0.9345870809484873, 'f1-score': 0.9228619340413639, 'support': 15899.0} | 0.9229   | {'precision': 0.8874560309401971, 'recall': 0.8896925092115648, 'f1-score': 0.8875422116709895, 'support': 36380.0} | {'precision': 0.9205025020321663, 'recall': 0.922869708631116, 'f1-score': 0.9211886969706305, 'support': 36380.0}  |
+| 0.0003        | 45.0  | 3645 | 0.7358          | {'precision': 0.7416612164813604, 'recall': 0.6886639676113361, 'f1-score': 0.7141807494489346, 'support': 4940.0} | {'precision': 0.8908167583580194, 'recall': 0.9620658135283364, 'f1-score': 0.9250714128762909, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9982026510896428, 'f1-score': 0.9991005172026085, 'support': 13353.0}                | {'precision': 0.9177690826656729, 'recall': 0.9294295238694258, 'f1-score': 0.9235625000000001, 'support': 15899.0} | 0.9239   | {'precision': 0.8875617643762631, 'recall': 0.8945904890246853, 'f1-score': 0.8904787948819586, 'support': 36380.0} | {'precision': 0.9224168257835843, 'recall': 0.9239417262231996, 'f1-score': 0.9229471838196122, 'support': 36380.0} |
+| 0.0003        | 46.0  | 3726 | 0.7377          | {'precision': 0.7419004131332898, 'recall': 0.6906882591093118, 'f1-score': 0.7153789705419855, 'support': 4940.0} | {'precision': 0.8880565959217644, 'recall': 0.9753199268738574, 'f1-score': 0.9296449575255936, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9979779824758481, 'f1-score': 0.9989879680647701, 'support': 13353.0}                | {'precision': 0.9186394218788936, 'recall': 0.9274797157053902, 'f1-score': 0.9230384025539106, 'support': 15899.0} | 0.9241   | {'precision': 0.887149107733487, 'recall': 0.8978664710411017, 'f1-score': 0.891762574671565, 'support': 36380.0}   | {'precision': 0.9226636624850962, 'recall': 0.9240791643760308, 'f1-score': 0.9231146009158029, 'support': 36380.0} |
+| 0.0003        | 47.0  | 3807 | 0.7395          | {'precision': 0.7348195329087048, 'recall': 0.7006072874493927, 'f1-score': 0.7173056994818653, 'support': 4940.0} | {'precision': 0.8904623073719283, 'recall': 0.9771480804387569, 'f1-score': 0.9317934190455436, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.9984273197034375, 'f1-score': 0.999213041034289, 'support': 13353.0}                 | {'precision': 0.9211896843822551, 'recall': 0.9233914082646707, 'f1-score': 0.9222892323156174, 'support': 15899.0} | 0.9239   | {'precision': 0.8866178811657222, 'recall': 0.8998935239640644, 'f1-score': 0.8926503479693289, 'support': 36380.0} | {'precision': 0.9229613747414034, 'recall': 0.9239142385926333, 'f1-score': 0.9232606486484036, 'support': 36380.0} |
+| 0.0003        | 48.0  | 3888 | 0.7407          | {'precision': 0.730044463264874, 'recall': 0.6979757085020243, 'f1-score': 0.7136500051743766, 'support': 4940.0}  | {'precision': 0.8839801816680429, 'recall': 0.9785191956124314, 'f1-score': 0.9288503253796095, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9213935354043516, 'recall': 0.9215673941757343, 'f1-score': 0.9214804565894154, 'support': 15899.0} | 0.9229   | {'precision': 0.8838545450843172, 'recall': 0.8991411268828897, 'f1-score': 0.8908078326248671, 'support': 36380.0} | {'precision': 0.9220122074054958, 'recall': 0.922869708631116, 'f1-score': 0.9222475487146972, 'support': 36380.0}  |
+| 0.0003        | 49.0  | 3969 | 0.7422          | {'precision': 0.7314540059347181, 'recall': 0.698582995951417, 'f1-score': 0.714640712362808, 'support': 4940.0}   | {'precision': 0.8828865979381443, 'recall': 0.9785191956124314, 'f1-score': 0.9282462605679601, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9217806841046278, 'recall': 0.9220705704761306, 'f1-score': 0.9219256045027199, 'support': 15899.0} | 0.9232   | {'precision': 0.8840303219943725, 'recall': 0.899418742820337, 'f1-score': 0.8910157801973887, 'support': 36380.0}  | {'precision': 0.9223070302964718, 'recall': 0.9231720725673447, 'f1-score': 0.9225402866579788, 'support': 36380.0} |
+| 0.0004        | 50.0  | 4050 | 0.7415          | {'precision': 0.735723486474882, 'recall': 0.6937246963562753, 'f1-score': 0.7141071056470099, 'support': 4940.0}  | {'precision': 0.8816494845360825, 'recall': 0.9771480804387569, 'f1-score': 0.9269455885540864, 'support': 2188.0} | {'precision': 1.0, 'recall': 0.998502209241369, 'f1-score': 0.9992505433560669, 'support': 13353.0}                 | {'precision': 0.9207592082184916, 'recall': 0.9245235549405623, 'f1-score': 0.9226375419765872, 'support': 15899.0} | 0.9235   | {'precision': 0.884533044807364, 'recall': 0.8984746352442409, 'f1-score': 0.8907351948834376, 'support': 36380.0}  | {'precision': 0.9223659633539489, 'recall': 0.9235019241341397, 'f1-score': 0.9227007376297935, 'support': 36380.0} |
 
 
 ### Framework versions