Table 8.
Classification evaluation metrics.
| Algorithm | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| ResNet-34 | 0.8906 | 0.8922 | 0.8947 | 0.8928 |
| SVM | 0.9576 | 0.9604 | 0.9597 | 0.9581 |
| The proposed ensemble model | 0.9754 | 0.9763 | 0.9768 | 0.9757 |
Classification evaluation metrics.
| Algorithm | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| ResNet-34 | 0.8906 | 0.8922 | 0.8947 | 0.8928 |
| SVM | 0.9576 | 0.9604 | 0.9597 | 0.9581 |
| The proposed ensemble model | 0.9754 | 0.9763 | 0.9768 | 0.9757 |