[ 源代码： r-cran-themis ]
软件包：r-cran-themis（1.0.0-1）
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>.
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- dep: r-api-4.0
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- dep: r-cran-recipes (>= 1.0.0)
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- rec: r-cran-modeldata
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- sug: r-cran-covr
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