Table 2.
Training results
Model | Epochs | Accuracy | Sensitivity | Specificity | Precision | F1 Score |
---|---|---|---|---|---|---|
MobileNet | 20 | 0.7529 | 0.7621 | 0.1815 | 0.9829 | 0.8586 |
InceptionV3 | 0.747 | 0.7561 | 0.1815 | 0.9828 | 0.8547 | |
EfficientNet | 0.8041 | 0.8149 | 0.1815 | 0.9828 | 0.891 | |
DenseNet | 0.7728 | 0.7834 | 0.1815 | 0.9817 | 0.8714 | |
ResNet | 0.747 | 0.7747 | 0.073 | 0.953 | 0.8547 | |
VGG16_Attention | 0.9779 | 0.9794 | 0.9373 | 0.9977 | 0.9885 |