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Comparison of the 3 predictive models in the train set.
| Model | Area under the curve (%) | Sensitivity (%) | Specificity (%) | Accuracy (%) | Positive predictive value (%) | Negative predictive value (%) | Composite Index |
| Logistic regression | 75.8 | 58.38 | 91.91 | 89.13 | 39.52 | 96.06 | 0.00 |
| Support vector machine | 90.4 | 79.19 | 99.36 | 97.68 | 91.76 | 98.14 | 0.82 |
| Random forest | 84.7 | 89.34 | 99.44 | 98.61 | 93.62 | 99.04 | 0.85 |
