Table 5.
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/