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Table 7 Summary of classifiers for Mainz cohort, validated on Rotterdam cohort with relapse as endpoint

From: Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data

FS method

# features

test error(%)

sensitivity(%)

specificity(%)

Youden index

AUC

L2 SVM

22283 (all)

44

68

48

0.16

0.58

RFE SVM

512

37

38

77

0.16

0.58

L1 SVM

1861

37

47

72

0.19

0.595

SCAD SVM

915

37

35

80

0.15

0.575

Elastic Net SVM

278

43

51

60

0.12

0.56

Elastic SCAD SVM

2823

37

34

81

0.15

0.575

  1. Misclassification error, sensitivity, specificity, Youden index and AUC value for four feature selection methods, RFE SVM and standard SVM trained on the Mainz cohort and applied to the Rotterdam cohort.
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BMC Bioinformatics

ISSN: 1471-2105

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