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SMOTEN in imbalanced-learn: SMOTE for Purely Categorical Data via the Value Difference Metric

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

SMOTEN in imbalanced-learn: SMOTE for Purely Categorical Data via the Value Difference Metric Part of the SMOTE Family series. Previous: V5 SMOTENC (mixed numeric + categorical). Next: V7 ADASYN (adaptive weighting). Disclaimer: Shakti Tiwari is NISM-Series-XII certified; not a SEBI-registered Rese…

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  1. 2026-09-09 04:31 · DEV Community — Machine Learning
    SMOTEN in imbalanced-learn: SMOTE for Purely Categorical Data via the Value Difference Metric

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