themis
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 doi:10.48550/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.
- Version1.0.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/14/2023
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Emil Hvitfeldt
MaintainerShow author detailsPosit Software, PBC
Show author detailsRolesCopyright holder, fnd
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