Cut Off, Lift, Binary Classification, Model Performance, Performance Metrics.
churn prediction of the model that we trained for a customer Target rate is assumed as 0.1 and score values are assumed as normally distributed. Let’s create the dataset. #Needed variables are defined df = pd.DataFrame(columns=['CUSTOMERID','CHURN_TARGET','MODEL_SCORE']) #Random values are assigned