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LogoutHow do you handle unbalanced data?
In normal cases outliers are the technique to handle unbalanced data but as a part of ML then classification on data is necessary. Resample the training set. Use K-fold Cross-Validation in the right way etc.
How do you handle unbalanced data?
In normal cases outliers are the technique to handle unbalanced data but as a part of ML then classification on data is necessary. Resample the training set. Use K-fold Cross-Validation in the right way etc.