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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