SNP Selection in Genome-Wide Association Studies via Penalized Support Vector Machine with MAX Test

Table 3

The results of CML data: number of selected SNPs and misclassification error are calculated on average over 100 random partitions; standard error is reported in the parentheses.

Genetic model	Average number of selected SNPs			Misclassification error
	𝑙1-SVM	Enet-SVM	SCAD-SVM	𝑙1-SVM	Enet-SVM	SCAD-SVM
Proposed	70.38	99.80	55.90	0.0737	0.0590	0.1098
	(1.29)	(4.10)	(0.52)	(0.0036)	(0.0062)	(0.0013)
Recessive	55.24	120.46	27.82	0.1184	0.0562	0.2003
	(1.19)	(4.73)	(2.33)	(0.0048)	(0.0051)	(0.0044)
Additive	66.32	120.76	43.50	0.1063	0.0667	0.1530
	(1.12)	(5.00)	(0.27)	(0.0051)	(0.0061)	(0.0026)
Dominant	51.90	91.92	50.90	0.1013	0.0702	0.1663
	(0.89)	(4.81)	(1.30)	(0.0062)	(0.0069)	(0.0044)