Description
Imbalanced datasets can be prepared for modeling with recipe steps for over-sampling, under-sampling, and synthetic examples. Data scientists use it inside tidymodels workflows before fitting classifiers.
FICHA · AUR
r-themis
Extra Recipes Steps for Dealing with Unbalanced Data
- R imbalance recipe library
- LIBRARY
- R
- Dependency only
official+codex · reviewed · Jun 4, 2026 description in
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