Source: r-cran-themis Standards-Version: 4.7.3 Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille , Section: gnu-r Testsuite: autopkgtest-pkg-r Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-recipes (>= 1.1.0), r-cran-cli, r-cran-gower, r-cran-lifecycle, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-rann, r-cran-rlang (>= 1.1.0), r-cran-rose, r-cran-tibble, r-cran-withr, r-cran-glue, r-cran-hardhat, r-cran-vctrs, architecture-is-64-bit, architecture-is-little-endian, Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-themis Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-themis.git Homepage: https://cran.r-project.org/package=themis Rules-Requires-Root: no Package: r-cran-themis Architecture: all Depends: ${R:Depends}, ${misc:Depends}, Recommends: ${R:Recommends}, Suggests: ${R:Suggests}, Description: GNU R 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 , BorderlineSMOTE 2005 and ADASYN 2008 . Or by decreasing the number of majority cases using NearMiss 2003 or Tomek link removal 1976 .