Evolving Churn Predictions: Navigating Interventions and Retraining | Towards Data Science

Dealing with emerging challenges during retraining churn models due to proactive retention efforts 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 […]