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| Hyperparameter | Value |
|---|---|
| memory | |
| steps | [('scaler', StandardScaler()), ('svm', RandomForestClassifier())] |
| verbose | False |
| scaler | StandardScaler() |
| svm | RandomForestClassifier() |
| scaler__copy | True |
| scaler__with_mean | True |
| scaler__with_std | True |
| svm__bootstrap | True |
| svm__ccp_alpha | 0.0 |
| svm__class_weight | |
| svm__criterion | gini |
| svm__max_depth | |
| svm__max_features | sqrt |
| svm__max_leaf_nodes | |
| svm__max_samples | |
| svm__min_impurity_decrease | 0.0 |
| svm__min_samples_leaf | 1 |
| svm__min_samples_split | 2 |
| svm__min_weight_fraction_leaf | 0.0 |
| svm__monotonic_cst | |
| svm__n_estimators | 100 |
| svm__n_jobs | |
| svm__oob_score | False |
| svm__random_state | |
| svm__verbose | 0 |
| svm__warm_start | False |
| Metric | Value |
|---|---|
| accuracy | 0.860392 |
| f1 score | 0.769606 |
| precision | 0.819363 |
| recall | 0.725547 |
[More Information Needed]