Comparing logistic regression, support vector machines, and permanental classification methods in predicting hypertension

Table 5 Prediction errors of support vector machine and permanental classification using common variants

Number of SNPs	0	5	10	15	20	50	100	200
Radial kernel SVM (training)	0.2301	0.0291	0.0180	0.0203	0.0130	0.0175	0.0052	0.0008
Radial kernel SVM (testing)	0.2419	0.1460	0.1350	0.1303	0.1272	0.1257	0.1213	0.1248
Permanental classification (training)	0.2231	0.1031	0.0971	0.0536	0.0404	0.0334	0.0337	0.0321
Permanental classification (testing)	0.2642	0.1517	0.1433	0.1473	0.1350	0.1347	0.1233	0.1231

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