Research Article
COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches
Table 5
Top three best performing models after tuning hyper-parameter.
| S. no. | Model | Accuracy | Recall | Precision | F1 score | Kappa score |
| 1 | CatBoost classifier | 0.7582 | 0.64 | 0.772 | 0.767 | 0.663 | 2 | Logistic regression | 0.751 | 0.57 | 0.753 | 0.731 | 0.631 | 3 | XGBoost classifier | 0.7471 | 0.55 | 0.727 | 0.721 | 0.591 |
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