Table 5.
ROC with Boruta package analysis of data from 4-year-old samples.
| Methods | AUC | Sensitivity | Specificity | PPV | NPV | p-Value |
|---|---|---|---|---|---|---|
| Sparse Logistic Regression | 0.89 (0.83–0.95) | 0.65 (0.53–0.76) | 0.98 (0.89–1) | 0.98 | 0.64 | 1.583 × 10−13 |
| Random Forest | 0.89 (0.84–0.95) | 0.69 (0.58–0.79) | 0.9 (0.77–0.97) | 0.91 | 0.65 | 1.088 × 10−13 |
| Gaussian Process | 0.85 (0.78–0.92) | 0.77 (0.66–0.86) | 0.85 (0.72–0.94) | 0.89 | 0.71 | 4.04 × 10−11 |
| Support Vector Machine | 0.78 (0.69–0.88) | 0.88 (0.78–0.94) | 0.69 (0.54–0.81) | 0.81 | 0.79 | 8.529 × 10−8 |