A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification

Table 6

Comparison of EBCS and CBCSEM.

Dataset	Indicators	EBCS	CBCSEM
D1	AVG-ACC	0.9393	0.9022
	AVG-SF	68.52	53.06
	AVG-TIME	402.74	28.85
D2	AVG-ACC	0.9710	0.9531
	AVG-SF	66.59	57.84
	AVG-TIME	373.78	24.40
D3	AVG-ACC	0.8885	0.8945
	AVG-SF	56.00	53.63
	AVG-TIME	145.05	8.74
D4	AVG-ACC	0.8766	0.8996
	AVG-SF	54.00	50.66
	AVG-TIME	137.18	11.37
D5	AVG-ACC	0.8038	0.8017
	AVG-SF	67.50	61.25
	AVG-TIME	143.76	14.02
D6	AVG-ACC	0.9732	0.9731
	AVG-SF	75.56	85.56
	AVG-TIME	161.17	10.78
D7	AVG-ACC	0.7588	0.8839
	AVG-SF	63.00	52.59
	AVG-TIME	217.16	22.41
D8	AVG-ACC	0.9790	0.9837
	AVG-SF	75.83	75.28
	AVG-TIME	383.23	20.73
D9	AVG-ACC	0.9469	0.9468
	AVG-SF	67.54	64.49
	AVG-TIME	518.87	51.02
D10	AVG-ACC	1.0000	1.0000
	AVG-SF	59.09	68.64
	AVG-TIME	961.81	19.63

The bold values show the best result in the algorithm comparison.