Disaggregated Evaluation
Evaluate models per subgroup, not just on average. Learn slicing strategies (single-attribute, intersectional, latent), sample-size requirements per slice, multiple-comparison correction, the model-card disaggregated-eval section, and the dashboard pattern that surfaces drift on the worst-served slice.
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Work through these 6 lessons in order, or jump to whichever is most relevant.
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