Table 9 Stage I performance, after the result merging from the three different classifiers learned on the same dataset (using the biological model), along with the best performance in each column before and after Stage I highlighted
From: Identification of transcription factor contexts in literature using machine learning approaches
| Â | Â | TF & NonPF data | TF & PPI data | ||||
|---|---|---|---|---|---|---|---|
| Â | Â | P | R | F | P | R | F |
before Stage I | SVM | .9381 | .9420 | .9039 | .9488 | .9258 | Â |
| Â | NB | .9315 | .9720 | .9514 | .8787 | .9143 | .8961 |
| Â | ME | .9327 | .9474 | .8895 | .9536 | .9204 | Â |
after Stage I | 2/3 majority | .9576 | .9427 | .8966 | .9515 | .9236 | Â |
| Â | unanimous | .9748 | .9242 | .9279 | .8836 | .9052 | Â |
| Â | any | .9141 | .9785 | .9452 | .8598 | .9815 | .9166 |