Table 3.

Evaluation metrics used in assessing the proposed feature selection method.

Metric	bNinja	bSBO	bSCA	bFA	bGA	bFEP	bGSA	bDE	bTSH	bBA
Average error	0.40908	0.57498	0.45428	0.56508	0.54648	0.44678	0.47838	0.47558	0.47008	0.57628
Average select size	0.36188	0.83878	0.49258	0.70298	0.61088	0.66838	0.74218	0.70518	0.57188	0.80788
Average fitness	0.47228	0.63318	0.50248	0.64538	0.60648	0.52658	0.53658	0.50678	0.49688	0.61638
Best fitness	0.37408	0.57628	0.48028	0.56408	0.50978	0.45178	0.47968	0.46028	0.47718	0.50608
Worst fitness	0.47258	0.65598	0.55648	0.66168	0.62488	0.56978	0.55938	0.57028	0.54488	0.60768
Standard deviation fitness	0.29458	0.46618	0.30778	0.44208	0.40748	0.35938	0.36958	0.32748	0.30868	0.41518