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smotefamily: 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. Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.
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Package details |
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| Author | Wacharasak Siriseriwan [aut, cre] |
| Maintainer | Wacharasak Siriseriwan <wacharasak.s@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.4.0 |
| Package repository | View on CRAN |
| Installation |
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