Table 2.
AUC, Accuracy, NPV, PPV, Sensitivity, and Specificity of the Four Machine Learning Methods on the Test Set.
| model | AUC | Accuracy | NPV | PPV | Sensitivity | Specificity |
|---|---|---|---|---|---|---|
| SVM | 0.6391 | 0.6731 | 0.5652 | 0.7586 | 0.6875 | 0.6500 |
| Lasso | 0.6266 | 0.6731 | 0.5714 | 0.7419 | 0.7188 | 0.6000 |
| LDA | 0.6500 | 0.6923 | 0.6111 | 0.7353 | 0.7812 | 0.5500 |
| RF | 0.6727 | 0.6731 | 0.5484 | 0.8571 | 0.5625 | 0.8500 |
* area under the curve (AUC) ; negative predictive value (NPV) ; positive predictive value (PPV)