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Are there specific strategies in keras to deal with class imbalance in the training set? or any recommendations about models to be aware of when this is a problem? Many classification problems are for rare outcomes, >= 5% of the cases.
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I would say class imbalance is the same in keras as with any machine learning problem. So you can down/up sample outside of keras (potentially with something like {rsample}) and feed in directly. Happy to hear about other ways to do this. Maybe there’s some generator that I don’t know about yet.
Are there specific strategies in keras to deal with class imbalance in the training set? or any recommendations about models to be aware of when this is a problem? Many classification problems are for rare outcomes, >= 5% of the cases.
The text was updated successfully, but these errors were encountered: