Hyperparameters of RF models
| Hyperparameters | Descriptions | Optimized values | |
|---|---|---|---|
| AweBD model | IntBD Model | ||
| n_estimators | Number of trees in the forest | 80 | 85 |
| max_depth | Maximum depth of each tree | 3 | 3 |
| min_samples_split | Minimum samples needed to split a node | 3 | 2 |
| min_samples_leaf | Minimum samples required in a leaf node | 2 | 2 |
| max_features | Number of features considered for splits | sqrt | sqrt |
| class_weight | Adjusts class weights for imbalanced data | balanced | balanced |
| random_state | Seed for reproducibility | 42 | 42 |
| Hyperparameters | Descriptions | Optimized values | |
|---|---|---|---|
| AweBD model | IntBD | ||
| n_estimators | Number of trees in the forest | 80 | 85 |
| max_depth | Maximum depth of each tree | 3 | 3 |
| min_samples_split | Minimum samples needed to split a node | 3 | 2 |
| min_samples_leaf | Minimum samples required in a leaf node | 2 | 2 |
| max_features | Number of features considered for splits | sqrt | sqrt |
| class_weight | Adjusts class weights for imbalanced data | balanced | balanced |
| random_state | Seed for reproducibility | 42 | 42 |
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