Open Access
Table B.1
Optimized hyperparameters for the random forest classifier.
| Parameter | Value | Description |
|---|---|---|
| bootstrap | False | Whether bootstrap samples are used when building trees. |
| class_weight | None | Adjust weights for classes (e.g., balanced). |
| max_depth | 48 | Maximum depth of each tree. |
| max_features | log2 | Number of features to consider at each split. |
| min_samples_leaf | 3 | Minimum number of samples required at a leaf node. |
| min_samples_split | 6 | Minimum number of samples required to split an internal node. |
| n_estimators | 918 | Number of trees in the forest. |
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