Fundamentals of testing AI-based systems · Question 5 of 60
Why can a single test, such as a cat classified as a dog, not reliably reflect a model's functional correctness?
1 answer is correct. Easy
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Answer
- A Because AI systems work probabilistically and the same input does not always yield the same output
Explanation
ML systems work with probabilities and do not always answer the same way. A cat being recognized as a dog once therefore says little about the quality of the model. Only many test cases give a statistically sound picture.