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
| Â | Â | SVM | NB | ME | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Â | Â | P | R | F | P | R | F | P | R | F |
MeSH+GO & NonPF | GM | .9328 | .7352 | .8223 | .9477 | .8859 | .9158 | .9595 | .7230 | .8246 |
| Â | 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 |
| Â | BM | .9810 | .6314 | .7683 | 1.000 | .5234 | .6872 | .9816 | .6517 | .7834 |