Pakiet: r-cran-themis (1.0.2-2)

[ Pakiet źródłowy: r-cran-themis  ]

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>.

Inne pakiety związane z r-cran-themis

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• dep: r-cran-dplyr

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• dep: r-cran-generics (>= 0.1.0)

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• dep: r-cran-glue

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• dep: r-cran-gower

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• dep: r-cran-hardhat

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• dep: r-cran-lifecycle (>= 1.0.3)

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• dep: r-cran-purrr

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• dep: r-cran-rann

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• dep: r-cran-recipes (>= 1.0.4)

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• dep: r-cran-rlang

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• dep: r-cran-rose

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• dep: r-cran-tibble

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• dep: r-cran-vctrs

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• dep: r-cran-withr

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• rec: r-cran-covr

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• rec: r-cran-dials (>= 1.2.0)

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• rec: r-cran-ggplot2

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• rec: r-cran-modeldata

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• rec: r-cran-testthat (>= 3.0.0)

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