Churn rate - in its broadest sense, is a measure of the number of individuals or items moving out of a collective group over a specific perio.
My question is what can I investigate in churn model by using logistic regression using Python?
Churn rate - in its broadest sense, is a measure of the number of individuals or items moving out of a collective group over a specific perio.
My question is what can I investigate in churn model by using logistic regression using Python?
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Can tell you which features are important to churn. Positive features are churning them (1) while negative coefficients are keeping them