Table 4.
Performance evaluation of the transfer learning model with different types of features.
| Features | Accuracy | Precision | Recall | F1 Score | AUC |
|---|---|---|---|---|---|
| Skin | 86.83% | 84.49% | 81.05% | 82.12% | 81.05% |
| Eye | 79.03% | 75.28% | 69.67% | 70.73% | 69.67% |
| Fusion | 79.95% | 79.76% | 71.25% | 72.12% | 71.25% |