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Table 3 TPR and TNR achieved by BioHEL compared to the other best methods for the five transcriptomics datasets, using leave-one-out cross validation

From: A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data

  NaiveBayes SVM IBk Jrip J48 RandomForest BioHEL RGIFE+ BioHEL
  TPR TNR TPR TNR TPR TNR TPR TNR TPR TNR TPR TNR TPR TNR TPR TNR
GSE36700 0.24 0.67 0.28 0.72 0.84 0.97 0.48 0.66 0.24 0.62 0.44 0.83 0.76 0.91 0.96 0.98
GSE3698 0.58 0.73 0.39 0.60 0.67 0.79 0.67 0.78 0.75 0.84 0.54 0.72 0.73 0.83 1.00 1.00
E-GEOD-12021 0.84 0.91 0.39 0.61 0.71 0.83 0.58 0.73 0.58 0.74 0.77 0.87 0.87 0.93 0.97 0.98
E-GEOD-29746 0.48 0.63 0.48 0.68 0.65 0.79 0.61 0.76 0.42 0.59 0.55 0.71 0.77 0.87 0.84 0.90
E-GEOD-27390 1.00 1.00 1.00 1.00 0.95 0.95 0.90 0.89 0.90 0.91 0.84 0.86 1.00 1.00 1.00 1.00