From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
---|---|---|---|---|---|---|
LR | 0.816 | 0.824 | 0.816 | 0.632 | 0.895 | 0.630 |
KNN | 0.923 | 0.909 | 0.919 | 0.839 | 0.883 | 0.850 |
SVM | 0.877 | 0.871 | 0.868 | 0.737 | 0.914 | 0.737 |
NB | 0.946 | 0.932 | 0.942 | 0.885 | 0.918 | 0.891 |
DT | 0.954 | 0.955 | 0.954 | 0.908 | 0.970 | 0.908 |
RF | 0.900 | 0.891 | 0.900 | 0.796 | 0.855 | 0.808 |
My model | 0.986 | 0.986 | 0.985 | 0.970 | 0.988 | 0.971 |