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年10月13日
Author: Aaron Defazio [aut, cre], Huw Campbell [aut]
Maintainer: Aaron Defazio <aaron.defazio at gmail.com>
License: BSD 3-clause License + file LICENSE
NeedsCompilation: no

Documentation:

Downloads:

Windows binaries: r-devel: classifierplots_1.4.0.zip, r-release: classifierplots_1.4.0.zip, r-oldrel: classifierplots_1.4.0.zip
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

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