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Table 3.
Average validation and test-set classification evaluation metrics for LightGBM, CatBoost, and XGBoost with hyperparameter optimization.
| Validation | Test | |||||||
|---|---|---|---|---|---|---|---|---|
| Model | F1 | Acc | Prec | Rec | F1 | Acc | Prec | Rec |
| LightGBM | 0.875 ± 0.012 | 0.876 ± 0.013 | 0.888 ± 0.024 | 0.862 ± 0.006 | 0.870 ± 0.012 | 0.872 ± 0.012 | 0.889 ± 0.015 | 0.851 ± 0.011 |
| XGBoost | 0.871 ± 0.011 | 0.873 ± 0.013 | 0.886 ± 0.024 | 0.858 ± 0.005 | 0.866 ± 0.011 | 0.869 ± 0.011 | 0.885 ± 0.014 | 0.845 ± 0.011 |
| CatBoost | 0.866 ± 0.015 | 0.868 ± 0.013 | 0.878 ± 0.015 | 0.856 ± 0.030 | 0.863 ± 0.012 | 0.866 ± 0.010 | 0.882 ± 0.008 | 0.845 ± 0.022 |
Notes. The standard deviation of each metric is also included.
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