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.


Reference manual

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1.0.1 by Gary Hutson, 12 days ago

Browse source code at

Authors: Gary Hutson [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, tidyr, magrittr, caret, mlbench, lattice, scales, ggplot2, tibble, e1071, randomForest

Suggests knitr, rmarkdown

See at CRAN