Table 5. The Performance of SVM Models on validation dataset with experimentally derived binding affinity from EhCaBPs (D7).
Features | SN | SP | ACC | MCC |
AC&CC | 83.33 | 60 | 72.73 | 0.45 |
AC&HC | 100 | 80 | 90.91 | 0.83 |
AC&HC&HYC | 83.33 | 80 | 81.82 | 0.63 |
AC&HYC&CC | 83.33 | 60 | 72.73 | 0.45 |
AC&HYC | 66.67 | 60 | 63.64 | 0.27 |
The Performance of SVM Models on validation dataset with experimentally derived binding affinity from EhCaBPs (D7)with different learning parameters on various hybrid models [γ (g) (in RBF kernel), c: parameter for trade-off between training error & margin] where SN–sensitivity, SP–specificity, ACC-accuracy, MCC–Matthews Correlation Coefficient, AUC/ROC-Area under curve/ Receiver Operating Curve.