Table 17 Model evaluation(10CV)
From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
|---|---|---|---|---|---|---|
XGBoost | 0.977 | 0.974 | 0.975 | 0.951 | 0.963 | 0.953 |
REL | 0.662 | 0.657 | 0.653 | 0.309 | 0.696 | 0.311 |
GD | 0.922 | 0.920 | 0.918 | 0.837 | 0.940 | 0.840 |
ARS | 0.497 | 0.492 | 0.489 | -0.010 | 0.557 | -0.010 |
Bagging | 0.915 | 0.918 | 0.911 | 0.825 | 0.981 | 0.835 |
Boosting | 0.935 | 0.933 | 0.932 | 0.866 | 0.945 | 0.869 |
My Model | 0.945 | 0.947 | 0.945 | 0.887 | 0.972 | 0.892 |