Additional file 14: of Metagenomic characterization of ambulances across the USA
Niamh OâHara
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 97Â 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