Multiple Choice Flashcards on 02 Databricks Certified Machine Learning Profes...

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Flashcard Practice Databricks Certified Machine Learning Professional Multiple Choice

A team tunes a delivery-time regression model using MAE and selects a model with acceptable average error. Operations rejects it because occasional very large late-delivery errors are much more costly than small errors. What should the team change in the tuning setup?

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Keep MAE because it weights small and large residuals the same by design. Tune on the test set until the selected model has no large residuals. Use a regression evaluator metric such as RMSE when large residuals should be penalized more heavily. Switch to BinaryClassificationEvaluator because late deliveries are operational incidents.

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