TABLE 2.
Model performance comparison.
| Classifier | Classification results | Accuracy | Recall rate | F1 value |
| XGBoost | LVRR | 0.858 | 0.875 | 0.856 |
| Non-LVRR | 0.896 | 0.871 | 0.875 | |
| Random forest | LVRR | 0.851 | 0.861 | 0.836 |
| Non-LVRR | 0.897 | 0.896 | 0.886 | |
| Logistic regression | LVRR | 0.840 | 0.657 | 0.696 |
| Non-LVRR | 0.788 | 0.899 | 0.825 |