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In machine learning, a baseline model provides a baseline metric to be used as a reference point. It can be a straightforward rule-based approach, a basic statistical model, or a simple machine-learning model with minimal complexity. It often represents the minimum level of performance that can be achieved without advanced techniques. By comparing the performance of more sophisticated models against this baseline, the value and effectiveness of models can be evaluated.