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 [aut, cre] Maintainer: Gary Hutson <hutsons-hacks at outlook.com> License: MIT + file LICENSE NeedsCompilation: no Language: en-US Materials: NEWS CRAN checks: ConfusionTableR results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=ConfusionTableR to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4