Hybrid Binary Imperialist Competition Algorithm and Tabu Search Approach for Feature Selection Using Gene Expression Data

Table 4

The computational results obtained by our proposed algorithm HICATS for 10 independent runs on 11_Tumors, 9_Tumors, and SRBCT datasets.

Runs	11_Tumors		9_Tumors		SRBCT
	Acc. (%)	Selected genes	Acc. (%)	Selected genes	Acc. (%)	Selected genes
1	97.70	287	75.00	245	100	10
2	96.55	302	76.67	262	100	14
3	94.83	330	75.00	233	100	15
4	95.40	268	75.00	249	100	13
5	96.55	290	76.67	257	100	9
6	96.55	356	81.67	242	100	12
7	94.83	323	83.33	259	100	16
8	94.83	349	76.67	238	100	9
9	95.98	275	81.67	247	100	9
10	95.40	295	81.67	253	100	10
Ave. SD	95.86 0.97	307.5 30.46	78.33 3.33	248.5 9.38	100 0	11.70 2.67