Table 7.
Comparative results obtained (Precision, Recall, F1-score, and Accuracy) for all algorithms employed.
| Precision | Recall | F1-score | Accuracy (%) | |
|---|---|---|---|---|
| VGG-B1 | 0.95 | 0.93 | 0.92 | 0.95 |
| VGG-B3 | 0.95 | 0.93 | 0.92 | 0.95 |
| VGG_Drop | 0.95 | 0.93 | 0.92 | 0.95 |
| VGG-V1 | 0.76 | 0.81 | 0.77 | 0.84 |
| VGG-V2 | 0.77 | 0.79 | 0.76 | 0.84 |
| AlexNet | 1.00 | 1.00 | 1.00 | 1.00 |
| InceptionNet | 0.95 | 0.95 | 0.94 | 0.95 |
| ResNet | 0.95 | 0.93 | 0.92 | 0.95 |
| LeNet5 | 0.95 | 0.90 | 0.90 | 0.89 |