Table 3.
Comparison of effects of different models.
Different models | Accuracy | Precision | Recall | AUC |
---|---|---|---|---|
AlexNet | 78.36% | 81.29% | 75.66% | 0.76 |
VGG16 | 85.27% | 86.33% | 87.48% | 0.83 |
ResNet | 83.09% | 86.59% | 79.98% | 0.81 |
Our model | 87.58% | 87.11% | 89.63% | 0.85 |