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Table 5 Summary of results—subject 05675 in StarPlus 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

87.00

6.75

70

0.47

SVM-Corr

78.00

11.35

2059

0.88

SVM-RFE

90.00

8.16

50

0.39

LASSO (\(\varTheta\) = 0.6)

89.00

7.38

11

0.60

LASSO (\(\varTheta\) = 0.7)

87.00

10.59

11

0.54

LASSO (\(\varTheta\) = 0.8)

86.00

9.66

11

0.54

LASSO (\(\varTheta\) = 0.9)

82.00

9.19

18

0.61

ENet (\(\varTheta\) = 0.6)

90.00

6.67

25

0.75

ENet (\(\varTheta\) = 0.7)

88.00

10.33

19

0.73

ENet (\(\varTheta\) = 0.8)

85.00

8.50

25

0.61

ENet (\(\varTheta\) = 0.9)

82.00

10.33

23

0.60