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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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Main options on how to deal with imbalanced data
Also, it would be nice if you have any good reference to SMOTE and ROSE, regarding how they work, how to apply them and how to use them with python. …