What approach do you take to handle datasets with imbalanced classes, where one category has a much larger number of instances than the other?

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Anonymous · Accepted Answer

I would try to use deep learning architecture which has less effect due to
imbalanced dataset. Another method is generating synthetic data using Smote
analysis.

What approach do you take to handle datasets with imbalanced classes, where one category has a much larger number of instances than the other?

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