Table 4.
Performance comparison: ensemble classifiers vs. Sub-EnClassifiers
| Methods | AUC | Sensitivity | Specificity |
|---|---|---|---|
| Sub-EnClassifier1 | 0.65289 | 0.45974 | 0.73808 |
| Sub-EnClassifier2 | 0.72944 | 0.62285 | 0.70575 |
| Sub-EnClassifier3 | 0.70759 | 0.46654 | 0.81004 |
| Sub-EnClassifier4 | 0.77802 | 0.69670 | 0.71086 |
| Sub-EnClassifier5 | 0.70238 | 0.47541 | 0.79535 |
| Sub-EnClassifier6 | 0.84647 | 0.76836 | 0.76798 |
| Sub-EnClassifier7 | 0.64221 | 0.39094 | 0.76555 |
| Sub-EnClassifier8 | 0.83079 | 0.73978 | 0.75002 |
| Ensemble-1 | 0.86273 | 0.76334 | 0.78611 |
| Ensemble-2 | 0.79189 | 0.74009 | 0.70019 |
| Ensemble-3 | 0.83117 | 0.73637 | 0.75139 |