Application of Global Optimization Methods for Feature Selection and Machine Learning

Table 2

Running time and number of selected features for three feature selection algorithms.

Datasets	Running time (seconds)			Number of selected features
	ICGFSA	GA	SVM	ICGFSA	GA	SVM
Liver	12.3	11.1	11.2	3	4	5
WDBC	12.6	12.9	13.1	10	14	16
Soybean	13.2	14.7	14.9	17	22	19
Glass	11.8	12.3	11.7	4	6	5
Wine	9.6	10.8	9.5	7	9	8
PDF	830.1	832.5	822	78	89	83