Additional file 14: of Metagenomic characterization of ambulances across the USA Niamh O’Hara Harry Reed Ebrahim Afshinnekoo Donell Harvin Nora Caplan Gail Rosen Brook Frye Stephen Woloszynek Rachid Ounit Shawn Levy Erin Butler Christopher Mason 10.6084/m9.figshare.c.3887422_D5.v1 https://springernature.figshare.com/articles/journal_contribution/Additional_file_14_of_Metagenomic_characterization_of_ambulances_across_the_USA/5435458 Figure S20. Boxplots of classifier performance over model specific parameter sweeps during training (80/20 split) on overlap data for city class. Classes underwent up sampling and were optimized in terms of mean ROC score. Shown are kappa and balanced accuracy, averaged over classes. rf, random forest; gbm, stochastic gradient boosting; rrf, regularized random forest; c50, c5.0 decision tree, pls, partial least squares; en, elastic net; knn, k-nearest neighbors; svm linear, support vector machine with linear kernel; rbf svm, support vector machine with rbf kernel. (DOCX 97 kb) 2017-09-22 05:00:00 Ambulance Classification Taxonomy Pre-hospital setting Hospital-acquired infections Nosocomial pathogens Antimicrobial resistance Microbial ecology Metagenomics Whole-genome sequencing