Cut Off, Lift, Binary Classification, Model Performance, Performance Metrics.
randomlist_model_score_0[b] b += 1 df.head() Output We have churn target and score values for 1000 customers. We need to compare CHURN_TARGET and MODEL_SCORE values to interpret model performance, because CHURN_TARGET is real churn target value and MODEL_SCORE is model’s prediction of being churn.