Table 2.
Prediction results of the CSP based feature extraction method and traditional feature extraction methods from evolutionary information.
Method | Sensitivity | Specificity | Accuracy | MCC | AUC | Feature Number |
---|---|---|---|---|---|---|
PSSM-DC | 0.843 | 0.774 | 0.809 | 0.619 | 0.873 | 400 |
CSP-PSSM-DC | 0.705 | 0.899 | 0.802 | 0.615 | 0.855 | 20 |
Bi-gram PSSM | 0.710 | 0.922 | 0.816 | 0.646 | 0.909 | 400 |
CSP-Bi-gram PSSM | 0.843 | 0.770 | 0.806 | 0.615 | 0.881 | 20 |
ED-PSSM | 0.876 | 0.820 | 0.848 | 0.697 | 0.903 | 400 |
CSP-ED-PSSM | 0.848 | 0.829 | 0.839 | 0.678 | 0.908 | 20 |