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themis: Extra Recipes Steps for Dealing with Unbalanced Data

A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

Version:1.0.3
Depends:R (≥ 3.6),recipes (≥ 1.1.0)
Imports:cli,gower,lifecycle (≥ 1.0.3),dplyr,generics (≥ 0.1.0),purrr,RANN,rlang (≥ 1.1.0),ROSE,tibble,withr,glue,hardhat,vctrs
Suggests:covr,dials (≥ 1.2.0),ggplot2,modeldata,testthat (≥3.0.0)
Published:2025-01-23
DOI:10.32614/CRAN.package.themis
Author:Emil HvitfeldtORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer:Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports:https://github.com/tidymodels/themis/issues
License:MIT + fileLICENSE
URL:https://github.com/tidymodels/themis,https://themis.tidymodels.org
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:themis results

Documentation:

Reference manual:themis.html ,themis.pdf

Downloads:

Package source: themis_1.0.3.tar.gz
Windows binaries: r-devel:themis_1.0.3.zip, r-release:themis_1.0.3.zip, r-oldrel:themis_1.0.3.zip
macOS binaries: r-release (arm64):themis_1.0.3.tgz, r-oldrel (arm64):themis_1.0.3.tgz, r-release (x86_64):themis_1.0.3.tgz, r-oldrel (x86_64):themis_1.0.3.tgz
Old sources: themis archive

Reverse dependencies:

Reverse imports:BioMoR,sae.projection
Reverse suggests:caret,mlr3pipelines,mrIML,orbital,RStoolbox

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=themisto link to this page.


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