Table 1.
Performance of ideal FGR classifiers
| Classifiers | SVM | LR | P‐value | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Cohort | AUC (95% CI) | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC (95% CI) | Accuracy (%) | Sensitivity (%) | Specificity (%) | |
| Training | 0.800 (0.740–0.861) | 81.8 | 77.1 | 82.9 | 0.776 (0.713–0.840) | 81.1 | 71.9 | 83.3 | 0.160 |
| Internal | 0.830 (0.743–0.917) | 84.8 | 80.0 | 86.0 | 0.790 (0.694–0.886) | 83.2 | 72.0 | 86.0 | 0.199 |
| External‐1 | 0.780 (0.700–0.859) | 83.7 | 68.4 | 87.5 | 0.737 (0.655–0.819) | 76.8 | 68.4 | 78.9 | <0.001 |
| External‐2 | 0.809 (0.739–0.880) | 83.8 | 76.2 | 85.7 | 0.729 (0.652–0.807) | 75.2 | 69.0 | 76.8 | <0.001 |
| All | 0.803 (0.767–0.839) | 83.2 | 75.3 | 85.2 | 0.757 (0.719–0.795) | 78.9 | 70.4 | 81.0 | <0.001 |