Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection

Table 4

Results for HGDGWO (binary version) implementation 1.

		Accuracy	-measure	Fitness values	No. of features	Precision	Sensitivity
Breast Cancer Wisconsin (Original)	JBGWO2	0.9401	0.9538	0.0615	2.16	0.9641	0.9448
	HGDGWO	0.9442	0.9571	0.064	2.28	0.9642	0.9514
Statlog (Heart)	JBGWO2	0.7889	0.8098	0.1688	3.62	0.8078	0.824
	HGDGWO	0.7904	0.8125	0.1805	3.98	0.8109	0.828
SPECT Heart	JBGWO2	0.7161	0.7707	0.2304	3.94	0.7322	0.8213
	HGDGWO	0.7017	0.7608	0.2532	6.38	0.7196	0.8112
Breast Cancer Wisconsin (Diagnostic)	JBGWO2	0.9361	0.9495	0.0552	2.12	0.9401	0.9602
	HGDGWO	0.9596	0.9681	0.0745	7.66	0.9618	0.9753