Table 2.
Models | Precision | Recall | F1-score | Accuracy | AUC | Validation loss |
---|---|---|---|---|---|---|
ConvNet | 0.88 | 0.87 | 0.87 | 0.87 | 0.87 | 0.39 |
Exception | 0.91 | 0.91 | 0.91 | 0.90 | 0.91 | 0.38 |
Inception_V3 | 0.88 | 0.88 | 0.88 | 0.88 | 0.88 | 0.50 |
ResNet50 | 0.91 | 0.91 | 0.91 | 0.90 | 0.91 | 0.41 |
VGG16 | 0.91 | 0.91 | 0.91 | 0.90 | 0.91 | 0.26 |
VGG19 | 0.90 | 0.90 | 0.90 | 0.89 | 0.90 | 0.53 |