Table 4.

Ten-fold cross validation and testing accuracy for enzyme identification and enzyme classification.

	Enzyme Identification (EC L0)		Enzyme Classification (EC L1)
Classifiers	Ten-fold Accuracy*	Testing Accuracy	Ten-fold Accuracy*	Testing Accuracy
DS	66.39	66.39	39.12	39.31
NBC	92.60	92.46	96.11	95.88
KNN	94.38	94.38	97.80	97.56
SVM	95.69	94.86	98.34	98.39
RFC	98.42	94.60	97.50	97.28

*Ten-fold cross validation accuracy. At EC L0 and EC L1 using ML classifiers, Decision Stump (DS), Naïve Bayes Classifier (NBC), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Random Forest Classifier (RFC). At EC L0, train and test sets contain 154,592 and 38,648 sequences respectively, whereas EC L1 contain train and test sets of 50,139 and 12,535, respectively.