Skip to main content

Table 11 Summary of results—subject 4 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

68.75

12.50

58

0.58

SVM-Corr

71.88

17.78

141

0.77

SVM-RFE

71.88

14.23

188

0.56

LASSO (\(\varTheta\) = 0.6)

56.25

22.30

30

0.52

LASSO (\(\varTheta\) = 0.7)

45.83

21.54

31

0.51

LASSO (\(\varTheta\) = 0.8)

42.71

22.90

28

0.36

LASSO (\(\varTheta\) = 0.9)

27.08

12.87

34

0.29

ENet (\(\varTheta\) = 0.6)

51.04

17.24

136

0.56

ENet (\(\varTheta\) = 0.7)

60.42

17.54

132

0.55

ENet (\(\varTheta\) = 0.8)

62.50

19.94

149

0.54

ENet (\(\varTheta\) = 0.9)

55.21

17.24

124

0.50