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Model performance metrics.
| Random Forest | XGBoost | Logistic Regression | |
|---|---|---|---|
| Accuracy | 86.7% | 86.7% | 86.7% |
| Sensitivity | 80% | 80% | 80% |
| Specificity | 90% | 90% | 90% |
| AUROC | 0.90 | 0.88 | 0.84 |
| Positive Predictive Value | 90% | 90% | 80% |
| Negative Predictive Value | 90% | 90% | 90% |
Performance metrics for the 3 machine learning models implemented. XGBoost = extreme gradient boosting. AUROC = area under recover operating characteristic.
