Explain how you would conduct a post-mortem analysis for an ML model that failed in production.
Instruction: Detail the process for performing a thorough analysis after an ML model fails or underperforms in a production setting.
Context: This question seeks to understand how the candidate learns from failures and applies those lessons to future ML deployments.
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I would treat the post-mortem as a systems investigation, not a blame exercise...