Research Article
HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection
Table 2
Prediction results of SVM and RF classifiers based on the jackknife CV.
| Classifier | Feature extraction method | ACC | SN | SP | MCC | AUC |
| SVM | AAC | 0.7912 | 0.8185 | 0.7655 | 0.5841 | 0.8663 | ACT | 0.7004 | 0.6795 | 0.7200 | 0.3999 | 0.7641 | CCT | 0.7650 | 0.7297 | 0.7982 | 0.5296 | 0.8373 | AAC+ACT+CCT | 0.8015 | 0.8127 | 0.7909 | 0.6034 | 0.8806 |
| RF | AAC | 0.7930 | 0.8161 | 0.7618 | 0.5885 | 0.8705 | ACT | 0.7369 | 0.7413 | 0.7327 | 0.4738 | 0.8125 | CCT | 0.7547 | 0.7761 | 0.7345 | 0.5106 | 0.8299 | AAC+ACT+CCT | 0.7706 | 0.8050 | 0.7382 | 0.5437 | 0.8539 |
|
|