Open Access
Table A.1.
Hyperparameter search ranges and optimal values.
| Parameter | Search range | Best value |
|---|---|---|
| n_estimators | 100-200 | 160 |
| max_depth | - | ’default’ |
| min_samples_split | 25-40 | 38 |
| min_samples_leaf | 2-20 | 7 |
| max_leaf_nodes | - | ’default’ |
| max_samples | 0.1-1.0 | 1.0 |
| class_weight | - | ’balanced’ |
| criterion | - | ’ Gini’ |
Notes. The values presented in the third column are the ones we adopted for the implementation of the random forest algorithm in this project.
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