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Performance criteria for the DGA predict model.
| Metrics | Value (95% CI) |
|---|---|
| Accuracy | 0.753 (0.722–0.785) |
| Sensitivity | 0.747 (0.700–0.790) |
| Specificity | 0.760 (0.712–0.803) |
| Positive predictive value | 0.766 (0.719–0.808) |
| Negative predictive value | 0.741 (0.693–0.785) |
| F1-score | 0.756 (0.725–0.787) |
CI, confidence interval.
