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Table 9 Testing accuracies under different procedures for breast cancer data

From: A new regularized least squares support vector regression for gene selection

Procedures

Classifier

No. of genes

Accuracy

A: Proposed selection and criterion

RLS-SVR

   

δ j ≥ 1/q

+KFDA

5

0.9091

 

+SVM

5

0.9545

∑ δ j ≥ 80%

+KFDA

7

0.9091

 

+SVM

7

0.9545

q genes

+KFDA

10

0.9545

 

+SVM

10

0.9545

B: Other selection procedures

MBGS

+KFDA

10

0.9545

 

+SVM

10

1

SGS1

+KFDA

10

0.9091

 

+SVM

10

0.9545

SGS2

+KFDA

10

0.9091

 

+SVM

10

0.9545

C: Selection and classification together

 

BMA

13–18

0.7273

 

MBGS

10

1

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BMC Bioinformatics

ISSN: 1471-2105

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