Choosing meaningful baselines for model evaluation

Selecting appropriate baselines is a practical skill for data scientists. Discuss which simple models or heuristics are suitable comparators for classification, regression and ranking tasks. Explain how baselines help guard against overfitting, set realistic expectations and inform which incremental improvements are valuable in production.

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