From: A meta-learning approach for B-cell conformational epitope prediction
Classifier* | TPR | FPR | Precision | Accuracy | F-score | MCC | AUC |
---|---|---|---|---|---|---|---|
3-level stacking | 0.194 | 0.008 | 0.520 | 0.958 | 0.283 | 0.300 | 0.793 |
\SEPPA 2.0 | 0.169 | 0.009 | 0.447 | 0.956 | 0.245 | 0.256 | 0.755 |
\ElliPro | 0.144 | 0.012 | 0.349 | 0.952 | 0.204 | 0.203 | 0.746 |
\BepiPred | 0.144 | 0.012 | 0.341 | 0.952 | 0.203 | 0.200 | 0.749 |
\BCPREDS | 0.109 | 0.009 | 0.338 | 0.953 | 0.165 | 0.173 | 0.717 |
\AAP | 0.124 | 0.016 | 0.255 | 0.947 | 0.167 | 0.153 | 0.758 |
\Bpredictor | 0.154 | 0.012 | 0.356 | 0.952 | 0.215 | 0.213 | 0.724 |
\DiscoTope 2.0 | 0.045 | 0.006 | 0.257 | 0.954 | 0.076 | 0.092 | 0.672 |
\ABCpred | 0.065 | 0.006 | 0.342 | 0.955 | 0.109 | 0.134 | 0.658 |