Package: r-cran-themis (0.1.4-2)

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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>.

dep: r-api-4.0

virtual package provided by r-base-core
dep: r-base-core (>= 4.1.1-2)

GNU R core of statistical computation and graphics system
dep: r-cran-dplyr

GNU R grammar of data manipulation
dep: r-cran-generics (>= 0.1.0)

GNU R common S3 generics not provided by base R methods
dep: r-cran-purrr

GNU R functional programming tools
dep: r-cran-rann

Fast Nearest Neighbour Search Using L2 Metric
dep: r-cran-recipes (>= 0.1.15)

GNU R preprocessing tools to create design matrices
dep: r-cran-rlang

Functions for Base Types and Core R and 'Tidyverse' Features
dep: r-cran-rose

GNU R random over-sampling examples
dep: r-cran-tibble

GNU R Simple Data Frames
dep: r-cran-unbalanced

GNU R racing for unbalanced methods selection
dep: r-cran-withr

GNU R package to run code 'With' temporarily modified global state

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