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Prediction model performance
| AUC (sd) | Sensitivity (sd) | Specificity (sd) | Accuracy (sd) | Precision (sd) | F1 score (sd) | |
|---|---|---|---|---|---|---|
| Logistic regression | 0.82 (0.02) | 0.77 (0.08) | 0.76 (0.06) | 0.76 (0.03) | 0.59 (0.06) | 0.66 (0.04) |
| Random forest | 0.83 (0.02) | 0.78 (0.06) | 0.75 (0.06) | 0.76 (0.03) | 0.59 (0.05) | 0.67 (0.04) |
| Support vector machine | 0.82 (0.03) | 0.76 (0.08) | 0.76 (0.08) | 0.76 (0.04) | 0.60 (0.08) | 0.66 (0.04) |
| Neural network | 0.81 (0.02) | 0.75 (0.08) | 0.76 (0.08) | 0.75 (0.04) | 0.59 (0.07) | 0.65 (0.03) |
