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Table 1 Quantitative results on the simulation data

From: ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles

Base classifierVariable numberConfusion matrixPositive classPrecisionRecallF1-measure
LDA[0,1]Tclassified asaba0.9920.9840.988
  label a1232b0.9840.9920.988
  label b1124weighted average0.9880.9880.988
kNN[0,1]Tclassified asaba0.9060.9280.917
  label a1169b0.9260.9040.915
  label b12113weighted average0.9160.9160.916
RF34classified asaba0.5280.4480.485
  label a5669b0.5210.6000.558
  label b5075weighted average0.5240.5240.522
 [0,1]Tclassified asaba0.8970.9040.900
  label a11312b0.9030.8960.899
  label b13112weighted average0.9000.9000.899
SVM0classified asaba0.4670.4000.431
  label a5075b0.4760.5440.508
  label b5768weighted average0.4720.4720.470
 [0,1]Tclassified asaba0.9090.9600.934
  label a1205b0.9580.9040.930
  label b12113weighted average0.9330.9320.932