From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
---|---|---|---|---|---|---|
XGBoost | 0.722 | 0.624 | 0.631 | 0.309 | 0.812 | 0.374 |
REL | 0.645 | 0.507 | 0.403 | 0.007 | 0.500 | 0.028 |
GD | 0.675 | 0.630 | 0.633 | 0.268 | 0.549 | 0.270 |
ARS | 0.666 | 0.601 | 0.589 | 0.226 | 0.670 | 0.263 |
LR | 0.571 | 0.534 | 0.533 | 0.067 | 0.383 | 0.067 |
KNN | 0.683 | 0.645 | 0.647 | 0.296 | 0.552 | 0.296 |
SVM | 0.735 | 0.700 | 0.697 | 0.395 | 0.579 | 0.396 |
NB | 0.649 | 0.571 | 0.568 | 0.158 | 0.510 | 0.168 |
DT | 0.632 | 0.592 | 0.592 | 0.184 | 0.462 | 0.184 |
RF | 0.692 | 0.538 | 0.478 | 0.101 | 1.000 | 0.230 |
My model | 0.783 | 0.733 | 0.741 | 0.484 | 0.687 | 0.487 |