Feature Scaling via Second-Order Cone Programming

Table 4

Performance comparisons on different selected features.

Selected features	1024	512	256	128	64	32	16	8	4	2	1
Methods	Number of misclassified samples
RFE + SVM	22	24	22	13	9	4	0	1	1	2	4
L2FS + L2SOCP	22	14	9	7	4	0	0	1	1	2	4
L1L2FS + L1L2SOCP	22	22	20	9	8	0	0	1	1	2	4
L2FS + SVM	22	15	10	8	3	0	0	1	1	3	4
L1L2FS + SVM	22	20	18	8	8	0	0	1	1	2	4
MISOCP + SVM	22	20	19	8	5	1	0	1	2	2	4