Table 4.
Model | Accuracy | Auc-score |
---|---|---|
VGG16 | 0.9000 | 0.9022 |
GoogLeNet | 0.8800 | 0.8822 |
ResNet34 | 0.9500 | 0.9511 |
ResNet50 | 0.9400 | 0.9415 |
MobileNetV2 | 0.9000 | 0.9014 |
The highest accuracy is highlighted in bold.
Model | Accuracy | Auc-score |
---|---|---|
VGG16 | 0.9000 | 0.9022 |
GoogLeNet | 0.8800 | 0.8822 |
ResNet34 | 0.9500 | 0.9511 |
ResNet50 | 0.9400 | 0.9415 |
MobileNetV2 | 0.9000 | 0.9014 |
The highest accuracy is highlighted in bold.