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>.
[email protected] low health (52/100) — consider alternatives
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-themisFirst published · 2020-05-29 11:21:50.409000+00:00
Last updated · 2025-09-23 21:40:14.986000+00:00