Table 9.
Evaluation metrics for the different models.
Models | Loss | TP | FP | TN | FN | ACC | Recall | PPV | SPC | NPV | F1-Score | MCC | AUC |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VGG19+CNN | 0.3280 | 251 | 4 | 764 | 5 | 98.05 | 98.05 | 98.43 | 99.5 | 99.3 | 98.24 | 97.7 | 99.66 |
ResNet152V2 | 0.1693 | 244 | 12 | 756 | 12 | 95.31 | 95.31 | 95.31 | 98.4 | 98.4 | 95.31 | 93.8 | 99.17 |
ResNet152V2+GRU | 0.1350 | 246 | 10 | 758 | 10 | 96.09 | 96.09 | 96.06 | 98.7 | 98.7 | 96.09 | 94.8 | 99.34 |
ResNet152V2+Bi-GRU | 0.2554 | 477 | 34 | 1502 | 35 | 93.36 | 93.16 | 93.35 | 97.8 | 97.8 | 93.26 | 91.1 | 98.44 |