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Table 5 Summary of classifiers for the MAQC-II data set with pCR status 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)

19

32

97

0.25

0.62

RFE SVM

2048

20

27

93

0.20

0.895

L1 SVM

7299

21

27

93

0.20

0.60

SCAD SVM

1072

21

35

91

0.26

0.63

Elastic Net SVM

398

24

15

91

0.06

0.53

Elastic SCAD SVM

148

15

52

94

0.46

0.73

  1. Misclassification error, sensitivity, specificity, Youden index and AUC value for four feature selection methods, RFE SVM and standard SVM based on ten-fold stratified cross validation.
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BMC Bioinformatics

ISSN: 1471-2105

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