TABLE 4. Performance Metric.
Sl.No. | Models | Accuracy | Precision | Recall | F1-score | Sensitivity | Specificity |
---|---|---|---|---|---|---|---|
1 | GDCNN | 98.84 | 93.00 | 100.00 | 96.37 | 100.00 | 97.00 |
2 | ResNet18 | 93.35 | 87.20 | 87.50 | 87.35 | 87.50 | 99.20 |
3 | ResNet50 | 93.36 | 83.40 | 87.51 | 85.41 | 87.51 | 99.21 |
4 | SqueezeNet | 96.60 | 83.23 | 95.00 | 88.73 | 95.00 | 98.20 |
5 | DenseNet-121 | 91.91 | 87.62 | 87.50 | 87.56 | 87.50 | 96.32 |
6 | VGG16 | 88.05 | 82.20 | 92.80 | 87.18 | 92.80 | 83.30 |