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Question 63 - DSA-C02 discussion

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You are training a binary classification model to support admission approval decisions for a college degree program.

How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

A.
Evaluate each trained model with a validation dataset and use the model with the highest accuracy score.
Answers
A.
Evaluate each trained model with a validation dataset and use the model with the highest accuracy score.
B.
Remove the ethnicity feature from the training dataset.
Answers
B.
Remove the ethnicity feature from the training dataset.
C.
Compare disparity between selection rates and performance metrics across ethnicities.
Answers
C.
Compare disparity between selection rates and performance metrics across ethnicities.
D.
None of the above.
Answers
D.
None of the above.
Suggested answer: C

Explanation:

By using ethnicity as a sensitive field, and comparing disparity between selection rates and performance metrics for each ethnicity value, you can evaluate the fairness of the model.

asked 23/09/2024
Jacek Kaleta
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