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Model Baseline

In machine learning, a model baseline refers to a simple or default model that serves as a reference point for evaluating the performance of more complex or sophisticated models. The baseline model is typically straightforward and easy to implement, allowing for a quick assessment of the effectiveness of more advanced models.