From: Optimizing diabetes classification with a machine learning-based framework
Binary accuracy | Trinary accuracy | Precision | F1_score | Recall | Auc | |
---|---|---|---|---|---|---|
DCSGAN | 0.9627 | 0.9931 | 0.9698 | 0.9698 | 0.9698 | 0.9702 |
CNN | 0.8271 | 0.8229 | 0.6981 | 0.6930 | 0.6952 | 0.6930 |
DNN | 0.7357 | 0.6095 | 0.7089 | 0.7078 | 0.7084 | 0.7809 |
SVM | 0.8827 | 0.7978 | 0.8893 | 0.9494 | 0.9176 | 0.8984 |
NB | 0.8590 | 0.8321 | 0.8749 | 0.8860 | 0.8794 | 0.8607 |
KNN | 0.9501 | 0.8811 | 0.9312 | 0.9778 | 0.9529 | 0.9407 |
DT | 0.9224 | 0.8469 | 0.9222 | 0.9468 | 0.9354 | 0.9225 |