Table 1: True classification ratio simulations results.

nSLDASLR-LASSOSLR-SCAD
MedTrueMeanTrueMedTrueMeanTrueMedTrueMeanTrue

200.950.93350.90.85590.90.8974
400.950.95580.9250.92850.9250.9254
600.96670.96570.96670.95460.950.9488
1000.980.97280.980.97290.980.9687

SLDA: stepwise linear discriminant analysis.
SLR-LASSO: sparse logistics regression-least absolute shrinkage and selection operator.
SLR-SCAD: sparse logistics regression-smoothly clipped absolute deviation penalty.