Translate technical metrics for stakeholders
Explain model metrics to business
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Translate the following model performance metrics into business impact language for stakeholders with no ML background: [list metrics: e.g., precision=0.87, recall=0.72, AUC=0.91]. Use concrete examples, analogies, and estimate the dollar impact of the model vs the current baseline of [describe baseline].
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Pour renforcer l'impact, associez chaque métrique à un coût monétaire par erreur. Exemple : recall=0,72 signifie 28% de vrais cas manqués, soit X € par faux négatif. Cela ancre le discours dans le budget des parties prenantes.
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