From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
---|---|---|---|---|---|---|
XGBoost | 0.690 | 0.623 | 0.621 | 0.262 | 0.604 | 0.282 |
REL | 0.551 | 0.530 | 0.520 | 0.052 | 0.381 | 0.055 |
GD | 0.665 | 0.641 | 0.633 | 0.269 | 0.517 | 0.272 |
ARS | 0.583 | 0.556 | 0.547 | 0.102 | 0.414 | 0.107 |
LR | 0.567 | 0.547 | 0.536 | 0.082 | 0.397 | 0.087 |
KNN | 0.718 | 0.673 | 0.673 | 0.352 | 0.613 | 0.359 |
SVM | 0.654 | 0.634 | 0.626 | 0.257 | 0.504 | 0.260 |
NB | 0.558 | 0.536 | 0.528 | 0.068 | 0.390 | 0.070 |
DT | 0.673 | 0.647 | 0.640 | 0.283 | 0.528 | 0.286 |
RF | 0.553 | 0.530 | 0.520 | 0.052 | 0.381 | 0.055 |
My model | 0.716 | 0.676 | 0.673 | 0.353 | 0.605 | 0.359 |