TABLE 2.

The comparison of different classifiers for predicting phage enzymes.

Classifier	Sn	Sp	Ac	MCC	AUC
KNN	0.98	0.16	0.702	0.232	0.664
RF	0.73	0.76	0.752	0.490	0.798
SVM	0.83	0.88	0.851	0.703	0.897
MLP	0.77	0.84	0.812	0.610	0.858

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.