TABLE 5.

Optimized hyperparameters of each base model.

Base model	Hyperparameters
ETR	‘n_estimators’: 251, ‘max_depth’: 30, ‘min_samples_leaf’: 1, ‘min_samples_split’: 2, ‘max_features’: sqrt
XGBR	‘n_estimators’: 271, ‘max_depth’: 8, ‘min_child_weight’: 4, ‘gamma’: 0, ‘colsample_bytree’: 1.0, ‘subsample’: 1.0, ‘learning_rate’: 0.19
RFR	‘n_estimators’: 102, ‘max_depth’: 23, ‘min_samples_leaf’: 1, ‘min_samples_split’: 2
BR	‘n_estimators’: 106, ‘max_features’: 0.9, ‘max_samples’: 1.0
GBR	‘n_estimators’: 178, ‘max_depth’: 8, ‘min_samples_leaf’: 1, ‘min_samples_split’: 3