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

Table 4

Experimental results for the Ovarian Cancer dataset.

Algorithm	Accuracy			Number of features
	EACSIDGWO	1.000	1.000	1.000	292	264	274.8
EBCS	0.991	0.991	0.991	1855	1747	1811.6
BACO	0.991	0.986	0.990	1971	1912	1945.7
BGA	0.991	0.991	0.991	1830	1755	1887.3
BPSO	0.991	0.986	0.990	1913	1777	1857

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