Algorithmf | Accuracya | Recallb | Precisionc | Specificityd | NPVe |
---|
ADID
| 80% | 90% | 82% | 57% | 72% |
EntMDL
| 68% | 60% | 91% | 87% | 50% |
Modified Chi2
| 71% | 64% | 91% | 87% | 53% |
ROC-based
| 77% | 84% | 82% | 61% | 64% |
Equal Frequency
| 68% | 60% | 91% | 87% | 50% |
- a Accuracy is the fraction of correctly classified patients and overall classified patients.
- b Recall is the fraction of correctly classified good outcome patients and the overall predicted good outcome patients.
- c Precision is the fraction of correctly classified good outcome patients and the predicted good outcome patients.
- d Specificity is the fraction of correctly classified poor outcome patients and the overall poor outcome patients.
- e NPV(negative predictive value) is the fraction of correctly classified poor outcome patients and the overall predicted poor outcome patients.
- f Discretization algorithms utilized for comparison/