Table 4 Model and key hyperparameters.
Model | Key hyperparameters |
|---|---|
Decision tree | “random_state”, “max_depth”, “min_samples_split”, “min_samples_leaf” |
LR | “fit_intercept”, “normalize” (deprecated in newer versions) |
RR | “alpha”, “fit_intercept” |
Lasso Regression | “alpha”, “fit_intercept” |
SVR | “kernel”, “C” (regularization), “epsilon” (ε-insensitive), “gamma” (for RBF kernel) |
RF | “random_state”, “n_estimators”, “max_depth” |
GB | “random_state”, “n_estimators”, “learning_rate”, “max_depth” |
AdaBoost | “random_state”, “n_estimators”, “learning_rate” |
XGBoost | “random_state”, “n_estimators”, “learning_rate”, “max_depth”, “subsample”, “colsample_bytree” |
