Table 4 Evaluation metrics for the SIPaKMeD data (5-class).
Iteration | Algorithm | Precision (%) | Sensitivity (%) | Accuracy (%) | MCC | F-Score |
|---|---|---|---|---|---|---|
Iteration-1 | ResNet-152 | 93.84 | 94.6 | 93.37 | 0.92 | 0.94 |
VGG-16 | 95.86 | 95.73 | 94.9 | 0.94 | 0.96 | |
Proposed method | 97.99 | 98.06 | 97.45 | 0.97 | 0.98 | |
Iteration-2 | ResNet-152 | 94.91 | 94.75 | 93.88 | 0.92 | 0.95 |
VGG-16 | 96.3 | 96.51 | 95.41 | 0.94 | 0.96 | |
Proposed method | 98.36 | 98.5 | 97.96 | 0.97 | 0.98 | |
Iteration-3 | ResNet-152 | 95.26 | 95.52 | 94.39 | 0.93 | 0.95 |
VGG-16 | 97.11 | 97.28 | 96.43 | 0.96 | 0.97 | |
Proposed method | 98.72 | 98.97 | 98.47 | 0.98 | 0.99 |
