Research Article
Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning
Table 4
Hyperparameters tuning of the base estimators.
| Base estimators | Hyperparameters | Range | Optimal values |
| LGBM | n_estimators | (100–1500) | 900 | num_leaves | (30–100) | 38 | Learning rate | (0.001–0.2) | 0.07 | reg_lambda | (1.1–1.5) | 1.24 | reg_alpha | (1.1–1.5) | 1.18 |
| RF | n_estimators | (50–1000) | 1041 | max_depth | (2–15) | 7 |
| XGBoost | n_estimators | (100–1500) | 1105 | num_leaves | (30–100) | 46 | Learning rate | (0.001–0.2) | 0.05 | reg_lambda | (1.1–1.5) | 1.41 | reg_alpha | (1.1–1.5) | 1.27 |
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