Skip to main content

Table 4 Enhancement of the prediction accuracy by ensemble majority voting*

From: Classification methods for the development of genomic signatures from high-dimensional data

r

ρ

Prediction accuracy of each base classifier

  

0.5

0.6

0.7

0.8

0.9

3

0

0.5

0.648

0.784

0.896

0.972

 

0.1

0.5

0.635

0.762

0.871

0.953

 

0.3

0.5

0.618

0.732

0.836

0.927

15

0

0.5

0.787

0.950

0.996

1.000

 

0.1

0.5

0.695

0.851

0.947

0.990

 

0.3

0.5

0.636

0.762

0.868

0.948

25

0

0.5

0.846

0.986

1.000

1.000

 

0.1

0.5

0.708

0.868

0.958

0.993

 

0.3

0.5

0.639

0.766

0.872

0.951

101

0

0.5

0.980

1.000

1.000

1.000

 

0.1

0.5

0.728

0.891

0.971

0.996

 

0.3

0.5

0.642

0.771

0.877

0.954

  1. *Binomial probability used for ρ = 0, with normal approximation for r > 25; Beta-binomial probability used for ρ > 0.