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Evolving Churn Predictions: Navigating Interventions and Retraining
Towards Data Science - Medium towardsdatascience.com
Retraining churn models presents unique challenges that need special attention
Retraining machine learning models, especially those focused on customer churn prediction, is an essential step to ensure their relevancy and accuracy over time. However, retraining churn models presents unique challenges that need special attention. Among the most notable is distinguishing between causal effects of interventions — identify customers who stayed due to the proactive retention program to target them exclusively.
Intervention Impact on Churn Retraining …
accuracy attention challenges churn churn-prediction customer machine machine learning machine learning models prediction predictions retention retraining uplift-modeling