Table 2 Hyperparameter ranges for successive halving.
Model | Hyperparameter | Range |
---|---|---|
DT | max_depth | [5, 10, 15, 20, None] |
RF | min_samples_split | [2, 5, 10] |
n_estimators | [50, 100, 200] | |
ET | max_features | [‘auto’, ‘sqrt’, ‘log2’] |
n_estimators | [50, 100, 200] | |
min_samples_leaf | [1, 2, 4] | |
HBGB | max_leaf_nodes | [15, 31, 63] |
learning_rate | [0.01, 0.05, 0.1, 0.2] | |
max_depth | [3, 5, 7, 10] |