Table 5 Classification results of different ensemble methods
Models | AUC | ACC (%) | SEN (%) | SPEC (%) | Precision (%) | Recall (%) | F1 (%) |
|---|---|---|---|---|---|---|---|
Feature-Ensemble | 0.8247 | 76.00 | 87.50 | 55.56 | 77.78 | 87.50 | 82.35 |
Decision-Ensemble-UA | 0.8837 | 82.00 | 84.38 | 77.78 | 87.10 | 84.38 | 85.71 |
Decision-Ensemble-WA(0.3) | 0.8490 | 80.00 | 81.25 | 77.78 | 86.67 | 81.25 | 83.87 |
Decision-Ensemble-WA(0.7) | 0.8559 | 74.00 | 75.00 | 72.22 | 82.76 | 75.00 | 78.69 |