ML development risks · Question 40 of 60
Which test types serve to verify robustness and efficiency in ML development testing?
4 answers are correct. Medium
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Answer
- A API testing
- C Reviews
- D ML functional performance testing
- E A/B and back-to-back testing
Explanation
When testing ML development, robustness and efficiency are checked with API tests, functional performance tests, A/B and back-to-back tests, and reviews. Disparate impact analysis and multiple annotation belong to input data testing.