Table 11 Comparison of the performance of Bayesian Network classifier (BN) using different search algorithms: K2, Hill Climbing, Repeated Hill Climber, LAGD Hill Climbing, TAN, Tabu and Simulated Annealing without using Sampling
| Â | K2 | Hill Climbing | Repeated Hill Climber | LAGD Hill Climbing | TAN | Tabu | Simulated Annealing |
|---|---|---|---|---|---|---|---|
Sensitivity | 37.70% | 37.70% | 37.70% | 48.11% | 57.09% | 37.94% | 53.65% |
Specificity | 93.21% | 93.21% | 93.21% | 91.44% | 90.71% | 93.19% | 90.97% |
Precision | 51.20% | 51.20% | 51.20% | 32.63% | 24.57% | 50.89% | 27.44% |
F-score | 43.42% | 43.42% | 43.42% | 38.89% | 34.35% | 43.47% | 36.31% |
RMSE | 0.34 | 0.34 | 0.34 | 0.34 | 0.34 | 0.3 | 0.3 |
AUC | 0.82 | 0.82 | 0.82 | 0.81 | 0.83 | 0.81 | 0.82 |