ConfusionTableR: Confusion Matrix Toolset

Takes the outputs of a 'caret' confusion matrix and allows for the quick conversion of these list items to lists. The intended usage is to allow the tool to work with the outputs of machine learning classification models. This tool works with classification problems for binary and multi-classification problems and allows for the record level conversion of the confusion matrix outputs. This is useful, as it allows quick conversion of these objects for storage in database systems and to track ML model performance over time. Traditionally, this approach has been used for highlighting model representation and feature slippage.

Version: 1.0.4
Imports: dplyr, tidyr, magrittr, caret, purrr, furrr
Suggests: knitr, rmarkdown, e1071, randomForest, scales, mlbench, FeatureTerminatoR
Published: 2021-12-01
DOI: 10.32614/CRAN.package.ConfusionTableR
Author: Gary Hutson ORCID iD [aut, cre]
Maintainer: Gary Hutson <hutsons-hacks at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: ConfusionTableR results


Reference manual: ConfusionTableR.pdf
Vignettes: ConfusionTableR


Package source: ConfusionTableR_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ConfusionTableR_1.0.4.tgz, r-oldrel (arm64): ConfusionTableR_1.0.4.tgz, r-release (x86_64): ConfusionTableR_1.0.4.tgz, r-oldrel (x86_64): ConfusionTableR_1.0.4.tgz
Old sources: ConfusionTableR archive

Reverse dependencies:

Reverse imports: MLDataR


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