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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 |
Maintainer: | Gary Hutson <hutsons-hacks at outlook.com> |
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: ConfusionTableR_1.0.4.zip, r-release: ConfusionTableR_1.0.4.zip, r-oldrel: ConfusionTableR_1.0.4.zip |
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 imports: | MLDataR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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