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classifierplots  

Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots
View on CRAN: Click here


Download and install classifierplots package within the R console
Install from CRAN:
install.packages("classifierplots")

Install from Github:
library("remotes")
install_github("cran/classifierplots")

Install by package version:
library("remotes")
install_version("classifierplots", "1.4.0")



Attach the package and use:
library("classifierplots")
Maintained by
Aaron Defazio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-12
Latest Update: 2020-10-13
Description:
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!
How to cite:
Aaron Defazio (2017). classifierplots: Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots. R package version 1.4.0, https://cran.r-project.org/web/packages/classifierplots. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:26), 1.3.1 (2017-01-12 15:13), 1.3.2 (2017-01-25 09:02), 1.3.3 (2017-04-06 08:27)
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Complete documentation for classifierplots
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