Keep a model importance ranking attached to the model it explains
A ranked predictor is not automatically a lever the marketing team can pull.
Read the lesson →THE CREATIVE FIELDBOOK / SNS MEDIA TECH
Practical lessons
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Investigate the record moving the model before deciding to remove it
An inconvenient observation can be an error, a rare valid case or a sign that the model misses something important.
Read the lesson →Read the two kinds of prediction error before praising accuracy
A model can be correct often while missing the rare request the team actually needs to find.
Read the lesson →Choose the score cutoff as an operating policy, not a default
A usable prediction score still needs a justified rule for the work it triggers.
Read the lesson →Treat a model drift alert as a question with a baseline
A changed input distribution calls for investigation, not automatic retraining or a declaration that performance failed.
Read the lesson →Match the sellable item before creating another catalog page
Product-to-ASIN match dossier with identity conflicts and attach/new/escalate decision.
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