[aut, cre]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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10), recipes (≥ 0.1.4) |
| Imports: | dials, dplyr, generics, purrr, RANN, rlang, ROSE, tibble, unbalanced, withr |
| Suggests: | covr, ggplot2, modeldata, testthat (≥ 2.1.0) |
| Published: | 2020-05-17 |
| Author: | Emil Hvitfeldt
[aut, cre] |
| Maintainer: | Emil Hvitfeldt <emilhhvitfeldt at gmail.com> |
| BugReports: | https://github.com/tidymodels/themis/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tidymodels/themis |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | themis results |
| Reference manual: | themis.pdf |
| Package source: | themis_0.1.1.tar.gz |
| Windows binaries: | r-devel: themis_0.1.1.zip, r-release: themis_0.1.1.zip, r-oldrel: themis_0.1.1.zip |
| macOS binaries: | r-release: themis_0.1.1.tgz, r-oldrel: themis_0.1.1.tgz |
| Old sources: | themis archive |
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