smotefamily (1.1)

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 for more information) Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.

Maintainer: Wacharasak Siriseriwan
Author(s): Wacharasak Siriseriwan [aut, cre]

License: GPL-2

Uses: igraph, FNN, dbscan
Reverse suggests: CBDA, imbalance, mlr3pipelines

Released over 2 years ago.