Fig. 6From: DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic dataa Performance comparison of the DeepARG models with the best hit approach using precision, recall, and F1-score as metrics for the training and testing datasets. The MEGARes bars corresponds to the performance of DeepARG-LS using the genes from the MEGARes database. b Precision and recall of DeepARG models against the best hit approach for each individual category in the testing dataset. *UNIPROT genes are used for testing and not all the ARG categories have genes from the UNIPROT databaseBack to article page