Table 3.
Methods | AUC | Sensitivity | Specificity | PPV | NPV | p-Value |
---|---|---|---|---|---|---|
Sparse Logistic Regression | 0.89 (0.79–0.99) | 0.74 (0.51–0.9) | 0.88 (0.63–0.99) | 0.89 | 0.71 | 4.368 × 10−6 |
Random Forest | 0.86 (0.74–0.98) | 0.78 (0.56–0.92) | 0.82 (0.56–0.96) | 0.86 | 0.74 | 6.690 × 10−5 |
Gaussian Process | 0.88 (0.76–1) | 0.87 (0.66–0.97) | 0.82 (0.56–0.96) | 0.87 | 0.82 | 7.187 × 10−6 |
Support Vector Machine | 0.88 (0.77–0.99) | 0.74 (0.51–0.9) | 0.94 (0.71–0.99) | 0.94 | 0.73 | 7.189 × 10−6 |