Table 1.

Comparing the performance of different feature selection methods on balanced dataset.

Feature Selection Methods	Evaluation Criterion
	Precision	Recall	F-Measure
SFS	0.689	0.571	0.624
SBS	0.708	0.530	0.607
GA	0.733	0.657	0.693
ACO	0.713	0.696	0.704
PSO	0.740	0.697	0.718
FPA	0.718	0.620	0.665
ESFPA	0.745	0.715	0.730