Share 'Techniques to address very low event rate for Logistic Regression Model'
I am looking at data form a telecom company and developing model to predict an event ( read churn).
I am planning to develop GLM using logit link function.
The real problem I am facing in the data is - very low volume (1.6 %) of churners.
So seeking advise on the following ;
- What are the possible (bad) outcomes if I take randomised training sample, consisting just 1.6 % churn…
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