Open Access
Table 1
Description of the algorithms and hyper-parameters used as base learners and meta-learners.
| Algorithms | Hyper-parameters |
|---|---|
| KNN | n_neighbours = 12 |
| Random Forest | n_estimators = 50 |
| max_depth = None | |
| XGBoost | n_estimators = 50 |
| max_depth = 6 | |
| CatBoost | n_estimators = 50 |
| max_depth = 6 | |
| LightGBM | n_estimators = 50 |
| max_depth = −1 | |
| MLP | Hidden layer sizes = (50,100,50) |
| activation = relu | |
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