Table 7 Comparative analysis of proposed model with other transfer learning models
S.No | T.L Model | Accuracy | Precision | Recall | F-1 Score |
|---|---|---|---|---|---|
1. | DenseNet121 | 87.91 ± 1.25 | 90.82 ± 1.10 | 86.85 ± 1.35 | 89.19 ± 1.20 |
2. | ResNet50 | 92.89 ± 0.85 | 90.34 ± 0.95 | 91.08 ± 0.90 | 90.39 ± 0.80 |
3. | VGG19 | 89.37 ± 1.10 | 85.67 ± 1.20 | 86.09 ± 1.25 | 85.02 ± 1.15 |
4. | Proposed Hybrid Capsule CNN | 99.25 ± 0.50 | 97.35 ± 0.40 | 96.79 ± 0.45 | 97.07 ± 0.38 |