--- library_name: sklearn tags: - sklearn - skops - tabular-classification model_format: skops model_file: skops-4mj4y_67.skops widget: - structuredData: amplitude_cutoff: - .nan - .nan - .nan amplitude_cv_median: - .nan - .nan - .nan amplitude_cv_range: - .nan - .nan - .nan amplitude_median: - -231.14950561523438 - -32.41670227050781 - -49.5401496887207 drift_mad: - .nan - .nan - .nan drift_ptp: - .nan - .nan - .nan drift_std: - .nan - .nan - .nan firing_range: - 1.8000000000000007 - 3.2399999999999984 - 1.4399999999999995 firing_rate: - 14.4 - 14.6 - 13.8 isi_violations_count: - 0.0 - 0.0 - 0.0 isi_violations_ratio: - 0.0 - 0.0 - 0.0 num_spikes: - 144.0 - 146.0 - 138.0 presence_ratio: - .nan - .nan - .nan rp_contamination: - 0.0 - 0.0 - 0.0 rp_violations: - 0.0 - 0.0 - 0.0 sd_ratio: - 0.5912728859813103 - 1.1242492492431155 - 0.7087562828230378 sliding_rp_violation: - 0.14 - 0.13 - 0.145 snr: - 40.52572890814601 - 6.3489456520122625 - 9.014227884573495 sync_spike_2: - 0.0 - 0.0 - 0.007246376811594203 sync_spike_4: - 0.0 - 0.0 - 0.0 sync_spike_8: - 0.0 - 0.0 - 0.0 --- # Model description [More Information Needed] ## Intended uses & limitations [More Information Needed] ## Training Procedure [More Information Needed] ### Hyperparameters
Click to expand | Hyperparameter | Value | |--------------------------------------|----------------------------------| | memory | | | steps | [('imputer', SimpleImputer(strategy='median')), ('scaler', StandardScaler()), ('classifier', RandomForestClassifier(class_weight='balanced_subsample', min_samples_leaf=3,
min_samples_split=3, n_estimators=103,
random_state=404159593))] | | verbose | False | | imputer | SimpleImputer(strategy='median') | | scaler | StandardScaler() | | classifier | RandomForestClassifier(class_weight='balanced_subsample', min_samples_leaf=3,
min_samples_split=3, n_estimators=103,
random_state=404159593) | | imputer__add_indicator | False | | imputer__copy | True | | imputer__fill_value | | | imputer__keep_empty_features | False | | imputer__missing_values | nan | | imputer__strategy | median | | scaler__copy | True | | scaler__with_mean | True | | scaler__with_std | True | | classifier__bootstrap | True | | classifier__ccp_alpha | 0.0 | | classifier__class_weight | balanced_subsample | | classifier__criterion | gini | | classifier__max_depth | | | classifier__max_features | sqrt | | classifier__max_leaf_nodes | | | classifier__max_samples | | | classifier__min_impurity_decrease | 0.0 | | classifier__min_samples_leaf | 3 | | classifier__min_samples_split | 3 | | classifier__min_weight_fraction_leaf | 0.0 | | classifier__monotonic_cst | | | classifier__n_estimators | 103 | | classifier__n_jobs | | | classifier__oob_score | False | | classifier__random_state | 404159593 | | classifier__verbose | 0 | | classifier__warm_start | False |
### Model Plot 
Pipeline(steps=[('imputer', SimpleImputer(strategy='median')),('scaler', StandardScaler()),('classifier',RandomForestClassifier(class_weight='balanced_subsample',min_samples_leaf=3, min_samples_split=3,n_estimators=103,random_state=404159593))])
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## Evaluation Results [More Information Needed] # How to Get Started with the Model [More Information Needed] # Model Card Authors This model card is written by following authors: [More Information Needed] # Model Card Contact You can contact the model card authors through following channels: [More Information Needed] # Citation Below you can find information related to citation. **BibTeX:** ``` [More Information Needed] ```