Answer / Devesh Mohan

In machine learning, a baseline refers to a simple method or model that serves as a point of comparison for evaluating more complex models. The goal is to establish a minimum performance level against which the new models can be compared. Common baselines include random guessing (for classification tasks) and mean (for regression tasks).

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