TABLE 4.
The comparison of different classifiers for discriminating phage hydrolases from other enzymes.
Classifier | Sn | Sp | Ac | MCC | AUC |
KNN | 0.70 | 0.89 | 0.814 | 0.588 | 0.863 |
RF | 0.91 | 0.80 | 0.86 | 0.722 | 0.898 |
SVM | 0.96 | 0.93 | 0.943 | 0.886 | 0.961 |
MLP | 0.93 | 0.91 | 0.927 | 0.837 | 0.948 |
SVM, support vector machine; RF, random forest; MLP, multilayer perceptron; KNN, k-nearest neighbors; Sn, sensitivity; Sp, specificity; Ac, accuracy; MCC, Matthew correlation coefficient; AUC, area under receiver operating characteristic (ROC) curve.