From: A meta-learning approach for B-cell conformational epitope prediction
Classifier | TPR | FPR | Precision | Accuracy | F-score | MCC | AUC |
---|---|---|---|---|---|---|---|
SEPPA 2.0 | 0.450 | 0.097 | 0.291 | 0.867 | 0.348 | 0.290 | 0.793 |
DiscoTope 2.0 | 0.930 | 0.761 | 0.096 | 0.294 | 0.173 | 0.110 | 0.617 |
Bpredictor | 0.129 | 0.017 | 0.399 | 0.916 | 0.195 | 0.192 | 0.690 |
ElliPro | 0.711 | 0.512 | 0.108 | 0.506 | 0.186 | 0.109 | 0.635 |
AAP | 0.831 | 0.770 | 0.085 | 0.278 | 0.154 | 0.039 | 0.490 |
ABCpred | 0.603 | 0.548 | 0.088 | 0.463 | 0.152 | 0.031 | 0.536 |
BCPREDS | 0.962 | 0.906 | 0.084 | 0.163 | 0.154 | 0.053 | 0.476 |
BepiPred | 0.718 | 0.500 | 0.110 | 0.517 | 0.191 | 0.118 | 0.609 |