Communicating Model Results to Stakeholders

Summary

Presenting model performance and impact in business terms (revenue impact, error cost) rather than only ML jargon (F1 score, AUC) that a non-technical audience can't act on.

• 1Rewrite a model performance summary from ML metrics into business-impact language.
• 2Practice the 'answer first' structure: recommendation, then supporting evidence.
• 3Prepare for the common question: 'how confident are you, and what happens if it's wrong?'