You are a data scientist working on a machine learning project to predict customer lifetime value (CLV) for an e-commerce company. Before deploying a complex model like a deep neural network, you need to establish a performance baseline to measure the effectiveness of your advanced models. You decide to use Amazon SageMaker to create this baseline efficiently. The goal is to build a simple model that can be easily implemented and provide a reference point for evaluating the performance of more sophisticated models later. Which of the following approaches is the MOST EFFECTIVE for creating a performance baseline using Amazon SageMaker?