| Logging training | |
| Running DummyClassifier() | |
| accuracy: 0.053 recall_macro: 0.001 precision_macro: 0.000 f1_macro: 0.000 | |
| === new best DummyClassifier() (using recall_macro): | |
| accuracy: 0.053 recall_macro: 0.001 precision_macro: 0.000 f1_macro: 0.000 | |
| Running GaussianNB() | |
| accuracy: 0.177 recall_macro: 0.184 precision_macro: 0.214 f1_macro: 0.164 | |
| === new best GaussianNB() (using recall_macro): | |
| accuracy: 0.177 recall_macro: 0.184 precision_macro: 0.214 f1_macro: 0.164 | |
| Running MultinomialNB() | |
| accuracy: 0.296 recall_macro: 0.029 precision_macro: 0.028 f1_macro: 0.022 | |
| Running DecisionTreeClassifier(class_weight='balanced', max_depth=1) | |
| accuracy: 0.038 recall_macro: 0.001 precision_macro: 0.000 f1_macro: 0.000 | |
| Running DecisionTreeClassifier(class_weight='balanced', max_depth=2249) | |
| accuracy: 0.931 recall_macro: 0.656 precision_macro: 0.641 f1_macro: 0.638 | |
| === new best DecisionTreeClassifier(class_weight='balanced', max_depth=2249) (using recall_macro): | |
| accuracy: 0.931 recall_macro: 0.656 precision_macro: 0.641 f1_macro: 0.638 | |
| Running DecisionTreeClassifier(class_weight='balanced', min_impurity_decrease=0.01) | |
| accuracy: 0.037 recall_macro: 0.001 precision_macro: 0.000 f1_macro: 0.000 | |
| Running LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000) | |
| accuracy: 0.087 recall_macro: 0.110 precision_macro: 0.082 f1_macro: 0.072 | |
| Running LogisticRegression(class_weight='balanced', max_iter=1000) | |
| accuracy: 0.188 recall_macro: 0.168 precision_macro: 0.135 f1_macro: 0.127 | |
| Best model: | |
| DecisionTreeClassifier(class_weight='balanced', max_depth=2249) | |
| Best Scores: | |
| accuracy: 0.931 recall_macro: 0.656 precision_macro: 0.641 f1_macro: 0.638 | |