Table 2.
Comparison of Naïve Bayes with other methods by using optimized features.
| Classifier | Sn (%) | Sp (%) | Acc (%) | auROC |
|---|---|---|---|---|
| BayesNet | 68.69 | 79.81 | 76.22 | 0.799 |
| RBFnetwork | 72.73 | 82.21 | 79.15 | 0.839 |
| Random Forest | 55.56 | 84.62 | 75.24 | 0.802 |
| LogitBoot | 52.53 | 85.10 | 74.59 | 0.795 |
| SVM | 63.64 | 86.54 | 79.15 | 0.836 |
| J48 | 61.62 | 77.88 | 72.64 | 0.671 |
| Naïve Bayes | 75.76 | 80.77 | 79.15 | 0.855 |