Question: In a few words, explain what an optimizing metric is and name the metric used for the classifier example.

Sample answer: An optimizing metric is the measure you try to make as good as possible after the essential pass/fail requirements have been set. In the classifier example, the optimizing metric is accuracy, because the model is chosen to maximize accuracy once the speed requirement is satisfied.

Key points:

• It is the metric used for choosing among acceptable options
• It is considered after required constraints are set
• Accuracy is the example optimizing metric in the classifier case

Rubric: Full credit for defining it as the metric to maximize after required constraints are met and for naming accuracy in the example. Partial credit for an incomplete but directionally correct definition.