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Table 13 Summary of results—subject 6 in Haxby dataset

From: Exploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study

Method

Mean accuracy (%)

STD (%)

Average number of selected features

Stability

SVM-MI

87.50

10.66

176

0.73

SVM-Corr

79.17

17.94

179

0.73

SVM-RFE

86.46

12.45

279

0.89

LASSO (\(\varTheta\) = 0.6)

69.79

17.24

42

0.60

LASSO (\(\varTheta\) = 0.7)

62.50

17.68

43

0.59

LASSO (\(\varTheta\) = 0.8)

63.54

15.50

39

0.52

LASSO (\(\varTheta\) = 0.9)

52.08

14.92

47

0.47

ENet (\(\varTheta\) = 0.6)

57.29

18.04

160

0.71

ENet (\(\varTheta\) = 0.7)

65.63

17.78

151

0.70

ENet (\(\varTheta\) = 0.8)

67.71

15.50

161

0.67

ENet (\(\varTheta\) = 0.9)

72.92

12.87

152

0.61