A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

A collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. (see < https://www.jair.org/media/953/live-953-2037-jair.pdf> for more information) Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.


Reference manual

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1.3.1 by Wacharasak Siriseriwan, 2 years ago

Browse source code at https://github.com/cran/smotefamily

Authors: Wacharasak Siriseriwan [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports FNN, dbscan, igraph

Imported by imbalance, sambia, scutr.

Suggested by CBDA, mlr3pipelines.

See at CRAN