Table 6.
NPV | PPV | Specificity | Sensitivity | LR- | LR+ | AUC | Accuracy | |
---|---|---|---|---|---|---|---|---|
Binary Logistic Regression | 0.792 | 0.70 | 0.693 | 0.78 | 0.32 | 2.55 | 0.788 | 73.3% |
Naïve Bayes | 0.715 | 0.726 | 0.81 | 0.61 | 0.48 | 3.21 | 0.77 | 72% |
NPV | PPV | Specificity | Sensitivity | LR- | LR+ | AUC | Accuracy | |
---|---|---|---|---|---|---|---|---|
Binary Logistic Regression | 0.792 | 0.70 | 0.693 | 0.78 | 0.32 | 2.55 | 0.788 | 73.3% |
Naïve Bayes | 0.715 | 0.726 | 0.81 | 0.61 | 0.48 | 3.21 | 0.77 | 72% |