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k-mer-based supervised machine learning prediction of antibiotic resistance signature profiles to 12 antibiotics in the E. coli cohort. Boxplots showing the prediction performance results of the gradient boosting classifier for the 50 iterations. The performance indicators (y axis) are accuracy, precision, recall, and AUC. Predictive models were generated to classify the resistance versus susceptibility profiles of 12 different antibiotics (x axis).
