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
33
/ 100
Health
use with caution

[email protected] low health (33/100) — consider alternatives

  • Low health score (33/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (3)
smotefamilyparallelmclust
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/scutr

First published · 2023-11-18 00:39:15

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