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Table 3 Performance of multi-class classifiers

From: CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer

 

Accuracy

F1-macro

F1-weighted

SVM-RMES

0.8983

0.8924

0.8986

SVM-Gene expression

0.8899

0.8917

0.8898

SVM-Gene expression (Hallmarks)

0.8834

0.8923

0.8831

COSSY

0.8657

0.8225

0.8723

Dominant Class Prediction

0.3451

0.1283

0.5132