scutr

cranv0.2.0

Balancing Multiclass Datasets for Classification Tasks. Imbalanced training datasets impede many popular classifiers. To balance training data, a combination of oversampling minority classes and undersampling majority classes is useful. This package implements the SCUT (SMOTE and Cluster-based Undersampling Technique) algorithm as described in Agrawal et

License MIT + file LICENSE0 versions1 maintainers3 deps80 weekly dl
s-kganz/scutr
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smotefamilyparallelmclust
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First published · 2023-11-18 00:39:15

Last updated · 2023-11-17T22:10:02+00:00

scutr — Health Score 33/100 | DepScope