Table 2 Comparison of the performance of Decision Tree (DT) classifier with sampling using confidence parameter (Conf) equals 0.1, 0.25, 0.5, 0.75 and 1
|  | Conf = 0.1 | Conf = 0.25 | Conf = 0.5 | Conf = 0.75 | Conf = 1 |
|---|---|---|---|---|---|
Sensitivity | 50.52% | 55.71% | 59.33% | 59.95% | 59.12% |
Specificity | 94.05% | 64.97% | 95.56% | 96.05% | 95.74% |
Precision | 55.69% | 61.87% | 67.08% | 70.91% | 68.52% |
F-score | 52.98% | 58.63% | 62.97% | 64.97% | 63.48% |
RMSE | 0.31 | 0.29 | 0.28 | 0.27 | 0.28 |
AUC | 0.83 | 0.84 | 0.87 | 0.88 | 0.87 |