Table 3.
Prediction Performance Evaluation
| Model | AUC (95% CI) | Accuracy | F-score | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|---|---|---|
| LR | 0.77 (0.66,0.88) | 0.77 (0.68,0.83) | 0.47 | 0.38 | 0.92 | 0.64 | 0.79 |
| DT | 0.74 (0.63,0.84) | 0.86 (0.79,0.92) | 0.55 | 0.61 | 0.90 | 0.50 | 0.94 |
| NB | 0.82 (0.72,0.91) | 0.73 (0.64,0.80) | 0.51 | 0.37 | 0.96 | 0.86 | 0.70 |
Abbreviations: AUC, area under curve; LR, logistic regression; DT, decision tree; NB, naïve Bayes; PPV, positive predictive value; NPV, negative predictive value.