Table 5 Evaluation metrics for the SIPaKMeD dataset (2-class).
Iteration | Algorithm | Precision (%) | Sensitivity (%) | Accuracy (%) | MCC | F-Score |
|---|---|---|---|---|---|---|
Iteration-1 | ResNet-152 | 93.55 | 98.86 | 95.04 | 0.90 | 0.96 |
VGG-16 | 95.7 | 100 | 97.16 | 0.94 | 0.98 | |
Proposed method | 97.85 | 100 | 98.58 | 0.97 | 0.99 | |
Iteration-2 | ResNet-152 | 94.62 | 100 | 96.45 | 0.93 | 0.97 |
VGG-16 | 96.77 | 100 | 97.87 | 0.95 | 0.98 | |
Proposed method | 98.92 | 100 | 99.29 | 0.98 | 0.99 | |
Iteration-3 | ResNet-152 | 94.62 | 100 | 96.45 | 0.93 | 0.97 |
VGG-16 | 96.77 | 100 | 97.87 | 0.95 | 0.98 | |
Proposed method | 98.92 | 100 | 99.29 | 0.98 | 0.99 |
