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Table 4 Performance of the three machine-learning classifiers on the FlyTF test data using only MeSH and GO TF 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
MeSH+GO & NonPF GM .9328 .7352 .8223 .9477 .8859 .9158 .9595 .7230 .8246
  BM .9542 .7210 .8213 .9595 .8676 .9112 .9802 .7047 .8199
MeSH+GO & PPI GM 1.000 .6986 .8225 1.000 .6354 .7771 .9972 .7210 .8369
  BM .9810 .6314 .7683 1.000 .5234 .6872 .9816 .6517 .7834
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