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Performance of the models on unseen data
| Rank | Model | Accuracy (%) | Sensitivity (%) | Specificity (%) | F1-score (%) |
|---|---|---|---|---|---|
| 1 | XGBoost | 95.78 | 95.32 | 96.23 | 95.74 |
| 2 | KNN | 95.62 | 95.57 | 95.67 | 95.60 |
| 3 | RF | 94.52 | 94.19 | 94.84 | 94.47 |
| 4 | Linear SVM | 75.47 | 77.75 | 73.21 | 75.93 |
SVM: support vector machine, KNN: k-nearest neighbor, RF: random forest, XGBoost: extreme gradient boosting.
