Share 'Handling Imbalanced data when building regression models'
Dear colleaques and friends,
i would like to know how you go about handling a dataset with imbalanced groups being modelled using a classification model eg logistics regression. As an example, fitting a logistic regression model to a dataset whose dependent variable is made up of 5% of bads and 95% of goods.
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