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Table 6 Summary of classifiers for the MAQC-II data set with ER 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)

10

93

84

0.77

0.855

RFE SVM

2048

14

89

81

0.79

0.895

L1 SVM

860

11

89

88

0.77

0.885

SCAD SVM

32

9

91

91

0.83

0.915

Elastic Net SVM

3

9

93

82

0.75

0.875

Elastic SCAD SVM

59

7

96

88

0.84

0.92

  1. Misclassification error, sensitivity, specificity, Youden index and AUC value for four feature selection methods, RFE SVM and standard SVM without feature selection based on ten-fold stratified cross validation.
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BMC Bioinformatics

ISSN: 1471-2105

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