Table 7. Area under ROC curve of the proposed Algorithm with ALO, PSO and CS.
Dataset | C4.5-SHO | ACO | PSO | CS |
---|---|---|---|---|
Monks | 0.9935 | 0.9874 | 0.97668 | 0.9733 |
Car | 0.98452 | 0.97908 | 0.97583 | 0.9659 |
Chess | 0.99931 | 0.98612 | 0.9815 | 0.9503 |
Breast-cancer | 0.9854 | 0.9795 | 0.9695 | 0.9581 |
Hayes | 0.99616 | 0.92611 | 0.9442 | 0.9571 |
Abalone | 0.9885 | 0.9828 | 0.9694 | 0.9566 |
Wine | 0.9932 | 0.9830 | 0.8977 | 0.8964 |
Ionosphere | 0.9954 | 0.9741 | 0.9630 | 0.9569 |
Iris | 0.9873 | 0.9687 | 0.9656 | 0.9578 |
Scale | 0.9858 | 0.9266 | 0.9165 | 0.8968 |
Average value | 0.9909 | 0.96934 | 0.95599 | 0.94692 |