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Table 2 ROC score of different methods when k-mer is used as input features

From: Predicting metabolic pathway membership with deep neural networks by integrating sequential and ontology information

Methods

k-mer

NN

0.786

cosine

0.598

SVM

0.715

RF

0.774

KNN

0.687