Table 3 Optimal features for implemented models.
Model | Hyperparameter | Optimum value/feature |
---|---|---|
GPR | Kernel | Rational quadratic |
Length_scale | 2 | |
Alpha | 0.1 | |
Length_scale_bounds | (1e−05, 100,000.0) | |
GP | Generation Number | 50 |
Population size | 8000 | |
Tree depth | 10 | |
XGBoost | n_estimators | 100 |
Learing_rate | 0.1 | |
Subsample | 0.9 | |
Max_depth | 5 | |
CatBoost | n_estimators | 100 |
Learing_rate | 0.15 | |
Subsample | 0.8 | |
Max_depth | 5 |