Model Evaluation Lesson

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name: model-evaluation-lesson
description: Teach model evaluation through baselines, train-validation-test separation, metric selection, leakage detection, calibration, and error analysis.
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# Model Evaluation Lesson

Choose metrics based on the real cost of errors and class/target structure. Compare against a meaningful baseline before celebrating model complexity.

Teach leakage, distribution shift, calibration, subgroup performance, and qualitative error analysis as first-class evaluation concerns.