Research Article
Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning
Table 6
Performance assessment of ensemble imbalance learning model with different base estimators.
| Base estimators | Performance measures | Recall (%) | Precision (%) | F1-score (%) | Balanced accuracy (%) | Geometric mean (%) |
| SPE framework | LGBM | 75.23 | 40.13 | 52.15 | 49.33 | 70.02 | XGBoost | 79.69 | 50.11 | 61.25 | 59.68 | 78.14 | RF | 69.11 | 49.71 | 57.51 | 54.22 | 74.13 |
| Balance cascade | LGBM | 64.06 | 51.02 | 57.25 | 51.02 | 72.13 | XGBoost | 72.38 | 57.18 | 64.13 | 59.22 | 77.31 | RF | 69.11 | 49.71 | 57.53 | 54.22 | 74.71 |
| Easy ensemble | LGBM | 72.71 | 47.14 | 57.22 | 53.71 | 74.15 | XGBoost | 64.71 | 45.91 | 53.41 | 49.52 | 71.66 | RF | 62.11 | 55.71 | 58.51 | 52.18 | 72.86 |
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