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What is the most important operational measure for a churn model in production?
①Once a model is deployed, leave it unchanged.
②Only perform full retraining of all training data every day.
③Keep monitoring only the model's inference accuracy.
④Update only manually when adding new features.
⑤Monitor data drift and performance degradation, and establish automated retraining and alerts.