From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
---|---|---|---|---|---|---|
XGBoost | 0.954 | 0.952 | 0.953 | 0.907 | 0.944 | 0.908 |
REL | 0.969 | 0.971 | 0.968 | 0.937 | 0.986 | 0.938 |
GD | 0.931 | 0.948 | 0.925 | 0.852 | 1.000 | 0.861 |
ARS | 0.786 | 0.774 | 0.778 | 0.559 | 0.771 | 0.566 |
Bagging | 0.961 | 0.961 | 0.959 | 0.919 | 0.975 | 0.919 |
Boosting | 0.984 | 0.983 | 0.984 | 0.969 | 0.972 | 0.969 |
My model | 0.986 | 0.986 | 0.985 | 0.970 | 0.988 | 0.971 |