Table 9 Comparison of the performance of Naïve Bayesian classifier (BC) using three different Weka options for handling continuous attributes: single normal, kernel estimation and supervised discretization without using Sampling
| Â | Single Normal | kernel Estimation | Supervised Discretization |
|---|---|---|---|
Sensitivity | 35.73% | 41.25% | 37.71% |
Specificity | 93.22% | 92.17% | 93.23% |
Precision | 51.89% | 40.79% | 51.32% |
F-score | 42.32% | 41.02% | 43.47% |
RMSE | 0.35 | 0.32 | 0.34 |
AUC | 0.81 | 0.81 | 0.82 |