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Allows users to create weighted confusion matrices and accuracy metrics that help with the model selection process for classification problems, where distance from the correct category is important. The package includes several weighting schemes which can be parameterized, as well as custom configuration options. Furthermore, users can decide whether they wish to positively or negatively affect the accuracy score as a result of applying weights to the confusion matrix. Functions are included to calculate accuracy metrics for imbalanced data. Finally, 'wconf' integrates well with the 'caret' package, but it can also work standalone when provided data in matrix form. References: Kuhn, M. (2008) "Building Perspective Models in R Using the caret Package" <doi:10.18637/jss.v028.i05> Monahov, A. (2021) "Model Evaluation with Weighted Threshold Optimization (and the mewto R package)" <doi:10.2139/ssrn.3805911> Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanced Data Classification Results. Pattern Recognition and Image Analysis, 295–302 Van de Velden, M., Iodice D'Enza, A., Markos, A., Cavicchia, C. (2023) "A general framework for implementing distances for categorical variables" <doi:10.48550/arXiv.2301.02190>.
Version: | 1.1.0 |
Suggests: | knitr, rmarkdown, caret |
Published: | 2024-04-22 |
DOI: | 10.32614/CRAN.package.wconf |
Author: | Alexandru Monahov |
Maintainer: | Alexandru Monahov <alexandru.monahov at proton.me> |
License: | CC BY-SA 4.0 |
URL: | https://www.alexandrumonahov.eu.org/projects |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | wconf results |
Reference manual: | wconf.pdf |
Vignettes: |
wconf: Weighted Confusion Matrix |
Package source: | wconf_1.1.0.tar.gz |
Windows binaries: | r-devel: wconf_1.1.0.zip, r-release: wconf_1.1.0.zip, r-oldrel: wconf_1.1.0.zip |
macOS binaries: | r-release (arm64): wconf_1.1.0.tgz, r-oldrel (arm64): wconf_1.1.0.tgz, r-release (x86_64): wconf_1.1.0.tgz, r-oldrel (x86_64): wconf_1.1.0.tgz |
Old sources: | wconf archive |
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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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