An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection

Table 5

Experimental results for the Breast Cancer Wisconsin (Diagnostic) dataset.

Algorithm	Accuracy			Number of features
	EACSIDGWO	0.977	0.974	0.975	3	3	3
EBCS	0.981	0.974	0.973	4	3	3.1
BACO	0.972	0.960	0.969	8	6	7
BGA	0.975	0.965	0.972	6	3	3.6
BPSO	0.981	0.963	0.974	8	3	5.4

Values in bold represent the best result, and values in italic denote the worst in each column, respectively.