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Table 3 Summary of results—subject 04820 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

90.00

10.54

164

0.40

SVM-Corr

83.00

15.67

1845

0.98

SVM-RFE

91.00

11.01

127

0.34

LASSO (\(\varTheta\) = 0.6)

85.00

8.50

8

0.78

LASSO (\(\varTheta\) = 0.7)

85.00

8.50

8

0.71

LASSO (\(\varTheta\) = 0.8)

84.00

8.43

10

0.49

LASSO (\(\varTheta\) = 0.9)

73.00

14.94

6

0.24

ENet (\(\varTheta\) = 0.6)

85.00

10.80

14

0.64

ENet (\(\varTheta\) = 0.7)

85.00

10.80

12

0.71

ENet (\(\varTheta\) = 0.8)

85.00

10.80

15

0.92

ENet (\(\varTheta\) = 0.9)

86.00

8.43

14

0.89