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You are a data scientist working on a machine learning project to predict customer churn for a subscription-based streaming service. Before deploying advanced models such as boosted trees or deep learning, you want to establish a simple performance baseline. The model should focus on core customer metrics and be easy to implement in Amazon SageMaker. Which approach should you use to create this baseline?