Table 2.
RF hyperparameters.
| Parameter | Meaning | Value | Range | 
|---|---|---|---|
| n_estimations | The number of estimators in the forest | 400 | 200–2000, step 200 | 
| max_features | max number of features considered for splitting a node | sqrt | - | 
| max_depth | max number of levels in each decision tree | None | None; 10–110, step 10 | 
| min_samples_split | min number of data points placed in a node before it is split | 2 | 2, 5, 10 | 
| min_samples_leaf | min number of data points allowed in a leaf node | 1 | 1, 2, 4 | 
| bootstrap | method for sampling data points. True= bootstrap samples | true | true, false |