classifierplots: Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots

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>
License: BSD 3-clause License + file LICENSE
NeedsCompilation: no
CRAN checks: classifierplots results


Reference manual: classifierplots.pdf


Package source: classifierplots_1.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): classifierplots_1.4.0.tgz, r-oldrel (arm64): classifierplots_1.4.0.tgz, r-release (x86_64): classifierplots_1.4.0.tgz, r-oldrel (x86_64): classifierplots_1.4.0.tgz
Old sources: classifierplots archive


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