Table 1.

Optimum hyperparameters chosen through 5-fold cross validation for the elastic net logistic regression classifier across the four datasets (Constant_1, Constant_2, CEU_1, and CEU_2) and three feature sets (wavelet, curvelet, and joint wavelet-curvelet [W-C])

Hyperparameters	Constant_1			Constant_2			CEU_1			CEU_2
	Wavelet	Curvelet	W-C	Wavelet	Curvelet	W-C	Wavelet	Curvelet	W-C	Wavelet	Curvelet	W-C
Wavelet level	1	N/A	1	1	N/A	1	1	N/A	1	1	N/A	1
γ	0.9	0.8	0.9	0.7	0.9	0.9	0.1	0.4	0.1	0.9	0.9	0.9
λ	0.00189	0.002	0.001	0.00168	0.001	0.021	0.0013	0.038	0.0012	0.0019	0.011	0.0017