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!


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("classifierplots")

1.4.0 by Aaron Defazio, 6 years ago


https://github.com/adefazio/classifierplots


Report a bug at https://github.com/adefazio/classifierplots/issues


Browse source code at https://github.com/cran/classifierplots


Authors: Aaron Defazio [aut, cre] , Huw Campbell [aut]


Documentation:   PDF Manual  


BSD 3-clause License + file LICENSE license


Imports Rcpp, grid, ROCR, caret, gridExtra, stats, utils, png

Depends on ggplot2, data.table

Suggests testthat


See at CRAN