You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit.
Which technique should you use?

A. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.

B. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5.

C. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6.

D. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15.








 

Suggested Answer: A

Scenario:
Performance curves of current and proposed cost factor scenarios are shown in the following diagram:
 <img src="https://www.examtopics.com/assets/media/exam-media/04274/0033400001.png" alt="Reference Image" />
The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated from 0.1 +/- 5%.

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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