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Snowflake Exam DSA-C02 Topic 1 Question 17 Discussion

Actual exam question for Snowflake's DSA-C02 exam
Question #: 17
Topic #: 1
[All DSA-C02 Questions]

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?

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Suggested Answer: C

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.


by Augustine at Apr 27, 2024, 03:32 PM

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Arlene
7 months ago
Yeah, comparing disparity seems fair. It directly addresses the issue of discrimination.
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Layla
7 months ago
I agree with user4. Maybe comparing metrics across ethnicities could be better.
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Nobuko
7 months ago
Not sure, though. We might lose important context by removing it.
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Doyle
8 months ago
I think it's a tough one. Removing ethnicity feature sounds like a good idea.
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Georgene
8 months ago
Yeah, evaluating a binary classification model for fairness.
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Leonardo
8 months ago
Did you see that question about evaluating model fairness?
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