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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. Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.
| Version: | 1.4.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | FNN, dbscan, igraph |
| Published: | 2024-03-14 |
| Author: | Wacharasak Siriseriwan [aut, cre] |
| Maintainer: | Wacharasak Siriseriwan <wacharasak.s at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | smotefamily results |
| Reference manual: | smotefamily.pdf |
| Package source: | smotefamily_1.4.0.tar.gz |
| Windows binaries: | r-devel: smotefamily_1.4.0.zip, r-release: smotefamily_1.4.0.zip, r-oldrel: smotefamily_1.4.0.zip |
| macOS binaries: | r-release (arm64): smotefamily_1.4.0.tgz, r-oldrel (arm64): smotefamily_1.4.0.tgz, r-release (x86_64): smotefamily_1.4.0.tgz, r-oldrel (x86_64): smotefamily_1.4.0.tgz |
| Old sources: | smotefamily archive |
| Reverse imports: | aifeducation, daltoolboxdp, ebmc, imbalance, npcs, sambia, scutr |
| Reverse suggests: | mlr3pipelines |
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