Generates a visualization of binary classifier performance as a grid of diagnostic plots with just one function call. Includes ROC curves, prediction density, accuracy, precision, recall and calibration plots, all using ggplot2 for easy modification. Debug your binary classifiers faster and easier!
Version: 1.4.0 Depends: R (≥ 3.1), ggplot2 (≥ 2.2), data.table (≥ 1.10) Imports: Rcpp (≥ 0.12), grid, ROCR, caret, gridExtra (≥ 2.2), stats, utils, png Suggests: testthat Published: 2020-10-13 DOI: 10.32614/CRAN.package.classifierplots Author: Aaron Defazio [aut, cre], Huw Campbell [aut] Maintainer: Aaron Defazio <aaron.defazio at gmail.com> BugReports: https://github.com/adefazio/classifierplots/issues License: BSD 3-clause License + file LICENSE URL: https://github.com/adefazio/classifierplots NeedsCompilation: no CRAN checks: classifierplots results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=classifierplots to link to this page.
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