A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method

Table 11

Comparing the FsBoost algorithm with single classifiers and boosting algorithms for other datasets.

Datasets	NF	Training (50%)		Total	Test (50%)		Total
		Class 1	Class 2		Class 1	Class 2
Basehock	89	497	500	997	497	499	996
Madelon	95	680	620	1300	620	680	1300
PCMAC	87	491	481	972	491	480	971

NF: number of features.