Table 10 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 using Sampling
| Â | K2 | Hill Climbing | Repeated Hill Climber | LAGD Hill Climbing | TAN | Tabu | Simulated Annealing |
|---|---|---|---|---|---|---|---|
Sensitivity | 37.44% | 37.44% | 37.44% | 47.65% | 60.07% | 37.59% | 55.20% |
Specificity | 93.31% | 93.31% | 93.31% | 91.55% | 91.02% | 93.20% | 91.23% |
Precision | 52.11% | 52.11% | 52.11% | 33.76% | 27.32% | 51.10% | 29.71% |
F-score | 43.57% | 43.57% | 43.57% | 39.52% | 37.56% | 43.31% | 38.63% |
RMSE | 0.34 | 0.34 | 0.34 | 0.34 | 0.28 | 0.34 | 0.29 |
AUC | 0.82 | 0.82 | 0.82 | 0.81 | 0.84 | 0.81 | 0.84 |