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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "themis" in publications use:'
type: software
license: MIT
title: 'themis: Extra Recipes Steps for Dealing with Unbalanced Data'
version: 1.0.2.9000
doi: 10.32614/CRAN.package.themis
abstract: 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 <arXiv:1106.1813>,
  BorderlineSMOTE 2005 <https://doi.org/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>.
authors:
- family-names: Hvitfeldt
  given-names: Emil
  email: emil.hvitfeldt@posit.co
  orcid: https://orcid.org/0000-0002-0679-1945
repository: https://tidymodels.r-universe.dev
repository-code: https://github.com/tidymodels/themis
commit: e8c9b214d1cce91660419df4dc60bffc936133de
url: https://themis.tidymodels.org
contact:
- family-names: Hvitfeldt
  given-names: Emil
  email: emil.hvitfeldt@posit.co
  orcid: https://orcid.org/0000-0002-0679-1945