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Synthetic Minority Oversampling Technique (SMOTE) is an approach used for dealing with imbalanced datasets before running them through machine learning models.
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SMOTE and multi class oversampling
I have read that the SMOTE package is implemented for binary classification. In the case of n classes, it creates additional examples for the smallest class. …