2001, 2009, Data mining and Modeling

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. The unreasonable effectiveness of data. Data mining for direct marketing: Problems and solutions. References. Banko, M., & Brill, E. link] Chawla, N. UCI machine learning repository.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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