Table 3 Comparison of the performance of Decision Tree (DT) classifier without 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 | 61.52% | 54.43% | 43.48% | 36.11% | 36.11% |
Specificity | 90.09% | 90.51% | 90.91% | 90.95% | 90.95% |
Precision | 18.21% | 22.80% | 28.16% | 30.17% | 30.17% |
F-score | 28.10% | 32.14% | 34.18% | 32.87% | 32.87% |
RMSE | 0.3 | 0.3 | 0.33 | 0.35 | 0.35 |
AUC | 0.72 | 0.73 | 0.69 | 0.65 | 0.65 |