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Table 8 Performance of the three machine-learning classifiers on the TF & NonPF and TF & PPI datasets with additional negative examples for training using 5-fold cross-validation (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 .9592 .8967 .9269 .9472 .9708 .9588 .9700 .8863 .9263
  BM .9602 .9242 .9418 .9371 .9661 .9513 .9609 .9208 .9404
TF & PPI GM .8959 .9469 .9207 .8743 .9149 .8941 .8760 .9542 .9134
  BM .9103 .9379 .9239 .8891 .9119 .9004 .9058 .9506 .9277