Research Article
Prediction of Gestational Diabetes Mellitus under Cascade and Ensemble Learning Algorithm
Table 4
Comparison of cascade results of models.
| Model no. 1 | Model no. 2 | Model no.3 | F1 | Ascension degree (%) |
| Catboost | XGBoost | Catboost | 0.732 | 1.1% | LightGBM | 0.741 | 2% | Catboost | 0.763 | 4.2% |
| Catboost | 0.721 | — | LightGBM | XGBoost | Catboost | 0.683 | 1.9% | LightGBM | 0.692 | 2.8% | Catboost | 0.701 | 3.7% |
| LightGBM | 0.664 | — | XGBoost | XGBoost | Catboost | 0.673 | 0.5% | LightGBM | 0.682 | 0.4% | Catboost | 0.691 | 1.3% |
| XGBoost | 0.678 | |
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