Package: wnpp Severity: wishlist Subject: ITP: r-cran-themis -- GNU R extra recipes steps for dealing with unbalanced data Package: wnpp Owner: Andreas Tille <ti...@debian.org> Severity: wishlist
* Package name : r-cran-themis Version : 0.1.4 Upstream Author : Emil Hvitfeldt * URL : https://cran.r-project.org/package=themis * License : MIT Programming Lang: GNU R 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 <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>. Remark: This package is maintained by Debian R Packages Maintainers at https://salsa.debian.org/r-pkg-team/r-cran-themis
