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

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1.3.3 by Huw Campbell, 3 years ago

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

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