Table 2.

Results of the feature and classifier selection for the considered seven structural classes.

Class	Kernel	C	Feature selection method	# of selected features
all-α	RBF (γ = 0.05)	10	Wrapper with SVM	117
all-β	RBF (γ = 0.1)	7	Wrapper with NB	53
α/β	Polynomial (exp = 2)	2	ReliefF	46
α+β	RBF (γ = 0.15)	4	CFS	163
Multi-domain	Polynomial (exp = 1.5)	0.5	Wrapper with SVM	105
Membrane	Polynomial (exp = 1.5)	10	Symmetrical Uncertainty	46
Small	Polynomial (exp = 2.5)	15	Wrapper with NB	18