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EURASIP Journal on Bioinformatics and Systems Biology

Table 1 List of experiments and their parameters: and are the parameters of the Beta distribution used for the Bayes error, is the number of groups, is the classification algorithm, is the two-classes model, is the correlation for features in the same group, is the number of training samples, is the number of features, and is the number of features used by the classifier.

From: Which Is Better: Holdout or Full-Sample Classifier Design?

1

1

2

NN

1

0.125

100

(10,10)

    

LDA

    
    

QDA

    
    

Kernel

    

1

1

2

NN

100

(10,10)

2

NN

1

0.125

100

(10,10)

1

1

NN

0.125

100

(10,10)

1

1

2

NN

1

0.125

(10,10)

1

1

5

LDA

1

0.125

100

(10,10)

    

(10,5)

    
    

(25,5)

    
    

(50,5)

    
    

(100,5)

    
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