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. 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.
| Version: |
1.1.0 |
| Depends: |
R (≥ 4.1), recipes (≥ 1.1.0) |
| Imports: |
cli, dplyr, generics (≥ 0.1.0), glue, gower, hardhat, lifecycle (≥ 1.0.3), purrr, RANN, rlang (≥ 1.1.0), ROSE, tibble, vctrs, withr |
| Suggests: |
covr, dials (≥ 1.2.0), ggplot2, kernlab, modeldata, philentropy, testthat (≥ 3.0.0) |
| Published: |
2026-08-02 |
| DOI: |
10.32614/CRAN.package.themis |
| Author: |
Emil Hvitfeldt 
[aut, cre],
Posit Software, PBC  [cph,
fnd] |
| Maintainer: |
Emil Hvitfeldt <emil.hvitfeldt at posit.co> |
| BugReports: |
https://github.com/tidymodels/themis/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/tidymodels/themis,
https://themis.tidymodels.org |
| NeedsCompilation: |
no |
| Citation: |
themis citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
themis results |