Table 2.
Comparisons | Classifiers | AUC | Sensitivity | Specificity | PPV | NPV |
---|---|---|---|---|---|---|
BCa vs. PCa | Logistic Regression with Elastic Net Regularization | 0.97 (0.93–1.00) |
0.60 (0.38–0.80) |
0.98 (0.95–1.00) |
0.90 | 0.90 |
BCa vs. non-Cancerous | Logistic Regression with Elastic Net Regularization | 0.95 (0.90–0.99) |
0.87 (0.70–1.00) |
0.92 (0.84–0.98) |
0.81 | 0.95 |
PCa vs. non-Cancerous | Extreme Gradient Boosting | 0.89 (0.83–0.94) |
0.76 (0.64–0.88) |
0.88 (0.80–0.95) |
0.81 | 0.85 |