Table 2.
Model | Accuracy | Precision | Recall | F1-Measure | AUC |
---|---|---|---|---|---|
LR | 0.71 | 0.70 | 0.53 | 0.58 | 0.71 |
SVM | 0.78 | 0.77 | 0.63 | 0.67 | 0.75 |
RF | 0.80 | 0.75 | 0.70 | 0.71 | 0.78 |
GAN-LR | 0.83 | 0.62. | 1.00 | 0.76 | 0.90 |
GAN-SVM | 0.84 | 0.72 | 1.00 | 0.84 | 0.86 |
GAN-RF | 0.89 | 0.80 | 1.00 | 0.88 | 0.90 |
LR, logistic regression; SVM, support vector machine; RF, random forest; GAN, generative adversarial networks.