2002 and Knowledge Discovery - Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

In their 2002 paper Chawla et al. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling. 2002) provide an example that illustrates the modifications. Generation of artificial examples. propose a different strategy where the minority class is over-sampled by generating synthetic examples.

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Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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