I have a question about predicting wine quality (classic wine dataset from UCI). I use ordered logistic classification in PLSR after joining white and red in the same dataset. There are imbalanced numbers between white and red. I have tried SMOTE but it is not ideal, there is a lot of weight methods, which one should I choose? Thanks!!!! Any references will be fantastic!
how to weight imbalance class for ordered logistic classification machine learning
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