From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
---|---|---|---|---|---|---|
XGBoost | 0.846 | 0.837 | 0.839 | 0.678 | 0.863 | 0.679 |
REL | 0.846 | 0.830 | 0.837 | 0.678 | 0.807 | 0.694 |
GD | 0.801 | 0.796 | 0.788 | 0.576 | 0.872 | 0.579 |
ARS | 0.564 | 0.516 | 0.499 | 0.034 | 0.600 | 0.038 |
LR | 0.602 | 0.534 | 0.533 | 0.073 | 0.675 | 0.074 |
KNN | 0.532 | 0.521 | 0.517 | 0.042 | 0.647 | 0.042 |
SVM | 0.634 | 0.589 | 0.590 | 0.184 | 0.694 | 0.186 |
NB | 0.724 | 0.647 | 0.641 | 0.336 | 0.696 | 0.421 |
DT | 0.794 | 0.783 | 0.783 | 0.566 | 0.833 | 0.566 |
RF | 0.673 | 0.567 | 0.525 | 0.161 | 0.662 | 0.254 |
My model | 0.858 | 0.863 | 0.854 | 0.710 | 0.919 | 0.714 |