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ROCR\nis a flexible tool for creating cutoff-parameterized 2D\nperformance curves by freely combining two from over 25\nperformance measures (new performance measures can be added\nusing a standard interface). Curves from different\ncross-validation or bootstrapping runs can be averaged by\ndifferent methods, and standard deviations, standard errors or\nbox plots can be used to visualize the variability across the\nruns. The parameterization can be visualized by printing cutoff\nvalues at the corresponding curve positions, or by coloring the\ncurve according to cutoff. All components of a performance plot\ncan be quickly adjusted using a flexible parameter dispatching\nmechanism. Despite its flexibility, ROCR is easy to use, with\nonly three commands and reasonable default values for all\noptional parameters.", "Encoding": "UTF-8", "License": "GPL (>= 2)", "NeedsCompilation": "no", "URL": "https://ipa-tys.github.io/ROCR/", "BugReports": "https://github.com/ipa-tys/ROCR/issues", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Repository": "https://ipa-tys.r-universe.dev", "Date/Publication": "2026-01-22 15:24:08 UTC", "RemoteUrl": "https://github.com/ipa-tys/rocr", "RemoteRef": "HEAD", "RemoteSha": "e762f21db4dbe0915dee2148253bb11d52cb0147", "Packaged": { "Date": "2026-05-22 06:02:09 UTC", "User": "root" }, "Author": "Tobias Sing [aut],\nOliver Sander [aut],\nNiko Beerenwinkel [aut],\nThomas Lengauer [aut],\nThomas Unterthiner [ctb],\nFelix G.M. Ernst [cre] (ORCID: )", "Maintainer": "Felix G.M. 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