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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