Dealing with Imbalanced Data
As we’ve seen from the previous post that the target variable Churn is imbalanced. We have about 27% churn records in the Telco Customer Churn data. It is not a highly imbalanced dataset. I typically would deal with the imbalance issue if the minority class is 10% or less. But want to use this data… Read More »