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Table 2 Average accuracy of using 5 to 50 features per method and dataset

From: ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction

 

Fisher score

Trace ratio

Multi SURF

ClearF normal

ClearF rbf

ClearF poly

CMIM

mRMR

t-score

Leukemia

0.945

0.945

0.945

0.973

0.959

0.945

0.973

0.959

0.959

ProstateGE

0.912

0.857

0.857

0.868

0.912

0.922

–

–

0.902

TOX171

0.672

0.713

0.819

0.807

0.666

0.683

–

–

–

Lung

0.865

0.841

0.901

0.916

0.935

0.902

–

–

–

LungDiscrete

0.716

0.689

0.811

0.880

0.879

0.811

0.841

0.743

–

  1. The bold italic numbers indicate the best results for each dataset, and the bold non-italic numbers indicate the second-best result
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BMC Medical Genomics

ISSN: 1755-8794

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