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Table 5 Performance of the three machine-learning classifiers on the FlyTF test data using both MeSH and GO TF data and part of the FlyTF data as positive training data (GM = generic model; BM = biological model)

From: Identification of transcription factor contexts in literature using machine learning approaches

   SVM NB ME
   P R F P R F P R F
TF & NonPF GM .9271 .8910 .9087 .9308 .9592 .9447 .9588 .8533 .9029
  BM .9455 .8925 .9182 .9527 .9450 .9488 .9770 .8655 .9109
TF & PPI GM 1.000 .9183 .9574 1.000 .8879 .9406 1.000 .9124 .9541
  BM .9936 .8926 .9403 1.000 .8370 .9112 .9885 .8818 .9321
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