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!

Documentation

Manual: classifierplots.pdf
Vignette: None available.

Maintainer: Aaron Defazio <aaron.defazio at ambiata.com>

Author(s): Aaron Defazio*

Install package and any missing dependencies by running this line in your R console:

install.packages("classifierplots")

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,
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Package classifierplots
Materials
URL https://github.com/ambiata/classifierplots
Task Views
Version 1.3.2
Published 2017-01-25
License BSD 3-clause License + file LICENSE
BugReports https://github.com/ambiata/classifierplots/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks classifierplots check results
Package source classifierplots_1.3.2.tar.gz