From: A meta-learning approach for B-cell conformational epitope prediction
Classifier* | TPR | FPR | Precision | Accuracy | F-score | MCC | AUC |
---|---|---|---|---|---|---|---|
Cascade | 0.199 | 0.008 | 0.519 | 0.958 | 0.288 | 0.304 | 0.789 |
\AAP | 0.164 | 0.010 | 0.423 | 0.955 | 0.237 | 0.244 | 0.774 |
\ElliPro | 0.144 | 0.009 | 0.414 | 0.955 | 0.214 | 0.226 | 0.748 |
\Bpredictor | 0.149 | 0.009 | 0.435 | 0.956 | 0.222 | 0.237 | 0.743 |
\SEPPA 2.0 | 0.065 | 0.003 | 0.500 | 0.957 | 0.115 | 0.169 | 0.698 |
\BCPREDS | 0.025 | 0.005 | 0.179 | 0.954 | 0.044 | 0.052 | 0.695 |
\DiscoTope 2.0 | 0.045 | 0.004 | 0.321 | 0.955 | 0.079 | 0.107 | 0.684 |
\BepiPred | 0.065 | 0.006 | 0.317 | 0.954 | 0.107 | 0.127 | 0.653 |
\ABCpred | 0.060 | 0.007 | 0.279 | 0.953 | 0.098 | 0.112 | 0.648 |