Table 3.
Model | Precision | Recall | F1-score | AUC | Accuracy |
---|---|---|---|---|---|
ResNet-50 | 0.8 | 0.72 | 0.73 | 0.72 | 0.78 |
Inception-V3 | 0.86 | 0.79 | 0.81 | 0.79 | 0.83 |
VGG-16 | 0.88 | 0.83 | 0.85 | 0.89 | 0.82 |
Vision Transformer | 0.89 | 0.84 | 0.86 | 0.87 | 0.87 |
Model | Precision | Recall | F1-score | AUC | Accuracy |
---|---|---|---|---|---|
ResNet-50 | 0.8 | 0.72 | 0.73 | 0.72 | 0.78 |
Inception-V3 | 0.86 | 0.79 | 0.81 | 0.79 | 0.83 |
VGG-16 | 0.88 | 0.83 | 0.85 | 0.89 | 0.82 |
Vision Transformer | 0.89 | 0.84 | 0.86 | 0.87 | 0.87 |