Models | Ā | AUC (95% CI) | Accuracy | Sensitivity | Specificity | PPV | NPV |
---|---|---|---|---|---|---|---|
LR-LASSO | Training | 0.873 (0.807ā0.938) | 0.789 | 0.763 | 0.800 | 0.630 | 0.883 |
Ā | Testing | 0.858 (0.746ā0.971) | 0.849 | 0.750 | 0.892 | 0.750 | 0.892 |
SVM | Training | 0.875 (0.808ā0.942) | 0.813 | 0.737 | 0.847 | 0.683 | 0.878 |
Ā | Testing | 0.829 (0.708ā0.951) | 0.755 | 0.500 | 0.865 | 0.615 | 0.800 |
LDA | Training | 0.885 (0.824ā0.946) | 0.821 | 0.737 | 0.859 | 0.700 | 0.880 |
Ā | Testing | 0.845 (0.742ā0.948) | 0.717 | 0.500 | 0.811 | 0.533 | 0.790 |
PI-RR | Training | 0.849 (0.770ā0.929) | 0.829 | 0.710 | 0.882 | 0.730 | 0.872 |
Ā | Testing | 0.833 (0.708ā0.958) | 0.811 | 0.625 | 0.892 | 0.714 | 0.846 |
Combined | Training | 0.907 (0.853ā0.961) | 0.805 | 0.895 | 0.765 | 0.630 | 0.942 |
Ā | Testing | 0.924 (0.851ā0.997) | 0.868 | 0.875 | 0.865 | 0.737 | 0.941 |