Open Access
Table 2.
Optimal hyperparameters (hp) returned by Optuna for the radius, mass, and age from each base model.
| hp | RF | XT | XGBoost | CatBoost | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Radius | Mass | Age | Radius | Mass | Age | Radius | Mass | Age | Radius | Mass | Age | |
| learning_rate | – | – | – | – | – | – | 0.29 | 0.3 | 0.3 | 0.64 | 0.97 | 0.95 |
| depth / | 20 | 20 | 20 | 20 | 20 | 20 | 6 | 6 | 6 | 5 | 5 | 5 |
| max_depth | ||||||||||||
| n_estimators / | 300 | 224 | 75 | 1000 | 1000 | 1000 | 1438 | 1172 | 1495 | |||
| iterations | ||||||||||||
Notes. “def” signifies that the default value was considered. Default values were also used for any hp that are excluded here.
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