I am trying to do logistic regression, decision tree, KNN & neural network on a dataset where I have 9800 rows, the target is binary and 98% 0. I have 1000 interval predictors, all the variables have many 0s and not normal distributions. How should I approach to handle the imbalanced data in SAS Miner for each of the models? Can somebody pls help?
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