Table 1.
Performance Metrics Including AUC, F1 Score, and Accuracy Based on Different Datasets
| Dataset | Classes, n | AUC | F1 Score | Accuracy (%) |
|---|---|---|---|---|
| Development dataset 1 (542 eyes) | 2 | 0.99 | 0.99 | 98.5 |
| 3 | 0.93 | 0.81 | 81.5 | |
| Independent test dataset 2 (150 eyes) | 2 | 0.99 | 0.92 | 92 |
| 3 | 0.81 | 0.69 | 68.7 | |
| Merged datasets (692 eyes) | 2 | 0.99 | 0.98 | 97.7 |
| 3 | 0.96 | 0.85 | 84.4 |