Table 12 Standard deviation test
From: A diabetes prediction model based on Boruta feature selection and ensemble learning
Accuracy | Recall | F1 Index | Kappa | Precision | MCC | |
|---|---|---|---|---|---|---|
LR | 0.05176 | 0.06968 | 0.07120 | 0.14293 | 0.36255 | 0.14600 |
KNN | 0.07411 | 0.06519 | 0.07430 | 0.14713 | 0.19508 | 0.16640 |
SVM | 0.05138 | 0.06302 | 0.06392 | 0.13108 | 0.15804 | 0.13834 |
NB | 0.05985 | 0.06865 | 0.07093 | 0.13652 | 0.52460 | 0.13676 |
DT | 0.03232 | 0.04472 | 0.03836 | 0.07525 | 0.09071 | 0.07240 |
RF | 0.08375 | 0.08531 | 0.08912 | 0.17546 | 0.17179 | 0.18285 |
My model | 0.01365 | 0.01757 | 0.01652 | 0.03303 | 0.02258 | 0.03287 |