r-cran-themis - 1.0.0-1 main

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
, BorderlineSMOTE 2005 and
ADASYN 2008 . Or by
decreasing the number of majority cases using NearMiss 2003
or Tomek
link removal 1976 .