Table 12.
The data processing synopsis with the calibrated classification.
| Name of the Dataset | Best ML Model | Best Calibration Method | Uncalibrated Brier Score | Calibrated Brier Score |
|---|---|---|---|---|
| Person_Gender_Height_Weight_Index | Decision Tree | Isotonic | 0.000 | 0.000 |
| Insurance | Decision Tree | Isotonic | 0.000 | 0.000 |
| Eating-health-module-dataset | Decision Tree | Isotonic, Sigmoid | 0.000 | 0.000 |
| Pima-Indians-diabetes-database | Logistic Regression | Isotonic | 0.144 | 0.143 |
| Cardiovascular-disease-dataset | Logistic Regression | Isotonic | 0.198 | 0.187 |