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: 1.3.2
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: 2017-01-25
Author: Aaron Defazio [aut, cre]
Maintainer: Aaron Defazio <aaron.defazio at ambiata.com>
BugReports: https://github.com/ambiata/classifierplots/issues
License: BSD 3-clause License + file LICENSE
URL: https://github.com/ambiata/classifierplots
NeedsCompilation: no
CRAN checks: classifierplots results

Downloads:

Reference manual: classifierplots.pdf
Package source: classifierplots_1.3.2.tar.gz
Windows binaries: r-devel: classifierplots_1.3.2.zip, r-release: classifierplots_1.3.2.zip, r-oldrel: classifierplots_1.3.2.zip
OS X Mavericks binaries: r-release: classifierplots_1.3.2.tgz, r-oldrel: classifierplots_1.3.2.tgz
Old sources: classifierplots archive

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