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The predictive value of XGBoost model
| Parameters | Data | |
|---|---|---|
| Training set | Testing set | |
| Sensitivity (95% CI) | 0.702 (0.621–0.782) | 0.635 (0.516–0.754) |
| Specificity (95% CI) | 0.826 (0.784–0.867) | 0.750 (0.675–0.825) |
| AUC (95% CI) | 0.814 (0.812–0.815) | 0.722 (0.720–0.725) |
| Accuracy (95%C I) | 0.791 (0.753–0.829) | 0.712 (0.648–0.776) |
CI confidence interval, AUC area under the curve
