Table 2 Applied hyperparameters for three classical machine learning (CML) models.
No | Model | Hyperparameter | Value |
---|---|---|---|
1 | Support vector machine (SVM) | Kernel | Radial basis function (RBF) |
tol | 0.001 | ||
C | 1.0 | ||
epsilon | 0.1 | ||
2 | Decision tree (DT) | criterion | ‘squared_error’ |
min_sample_split | 2 | ||
min_samples_leaf | 1 | ||
min_impurity_decrease | 0.0 | ||
3 | XGBoost regressor | n_estimator | 100 |
learning_rate | 0.08 | ||
gamma | 0 | ||
subsample | 0.75 | ||
max_delta_step | 0 | ||
max_depth | 7 |