Model 3.1 employs a deep learning architecture based on InvceptionV3 but tailored for skin lesion classification.
To learn more, Visit the model section of the wiki
Performance
- Recall: 80.27%
- Precision: 93.35%
- Accuracy: 85.40%
- Loss: 0.5113
Model 3 Targets
| Metric | Target Range | Progress |
|---|---|---|
| Loss | Close to 0 | |
| Accuracy | 85% - 95% | |
| Precision | 80% - 90% | |
| Recall | 85% - 95% |