Table 1 Performance evaluation for different combinations of features by 10-fold cross-validation using RevSS_PDB dataset
From: Prediction of reversible disulfide based on features from local structural signatures
Feature sets | ACC | SN | SP | MCC | AUC |
|---|---|---|---|---|---|
AAC + DST + LEN + PCP + SST | 0.750 | 0.352 | 0.953 | 0.405 | 0.751 |
AAC + DST + PCP + SST | 0.743 | 0.339 | 0.949 | 0.383 | 0.749 |
AAC + DST + LEN + PCP | 0.738 | 0.291 | 0.967 | 0.375 | 0.740 |
AAC + DST + LEN + SST | 0.728 | 0.283 | 0.956 | 0.341 | 0.726 |
AAC + LEN + PCP + SST | 0.729 | 0.339 | 0.929 | 0.344 | 0.719 |
DST + LEN + PCP + SST | 0.729 | 0.265 | 0.967 | 0.348 | 0.698 |