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wconf
View on CRAN: Click
here
Download and install wconf package within the R console
Install from CRAN:
install.packages("wconf")
Install from Github:
library("remotes")
install_github("cran/wconf")
Install by package version:
library("remotes")
install_version("wconf", "1.2.0")
Attach the package and use:
library("wconf")
Maintained by
Alexandru Monahov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-12
Latest Update: 2023-12-12
Description:
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. '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> 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>.
How to cite:
Alexandru Monahov (2023). wconf: Weighted Confusion Matrix. R package version 1.2.0, https://cran.r-project.org/web/packages/wconf. Accessed 22 Dec. 2024.
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Complete documentation for wconf
Functions, R codes and Examples using
the wconf R package
Some associated functions: wconf-package . wconfusionmatrix . weightmatrix .
Some associated R codes: wconf-package.R . wconfusionmatrix.R . weightmatrix.R . Full wconf package functions and examples
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