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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. 2002) do not present a rigorous mathematical treatment for this modification, and the suggested median correction appears to be purely empirical-driven. A word of caution. Chawla et al. References. link] Chawla, N.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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