Table 8 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 using Sampling
| Â | Single Normal | kernel Estimation | Supervised Discretization |
|---|---|---|---|
Sensitivity | 35.32% | 40.90% | 37.41% |
Specificity | 93.26% | 92.37% | 93.32% |
Precision | 52.34% | 42.70% | 52.20% |
F-score | 42.18% | 41.78% | 43.59% |
RMSE | 0.35 | 0.32 | 0.34 |
AUC | 0.81 | 0.81 | 0.82 |