O’Hara, Niamh Reed, Harry Afshinnekoo, Ebrahim Harvin, Donell Caplan, Nora Rosen, Gail Frye, Brook Woloszynek, Stephen Ounit, Rachid Levy, Shawn Butler, Erin Mason, Christopher Additional file 13: of Metagenomic characterization of ambulances across the USA Figure S19. Boxplots of classifier performance over model specific parameter sweeps during training (80/20 split) on MetaPhlAn2 data for region 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 141 kb) Ambulance;Classification;Taxonomy;Pre-hospital setting;Hospital-acquired infections;Nosocomial pathogens;Antimicrobial resistance;Microbial ecology;Metagenomics;Whole-genome sequencing 2017-09-22
    https://springernature.figshare.com/articles/journal_contribution/Additional_file_13_of_Metagenomic_characterization_of_ambulances_across_the_USA/5435455
10.6084/m9.figshare.c.3887422_D4.v1