Free CompTIA DataX DY0-001 Actual Exam Questions - Question 13 Discussion
historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score
of 0.90. Which of the following explains a confidence score of 0.90?
It’s A. The 90% accuracy refers to the model identifying errors correctly across known cases, not repeated runs or samples. So the confidence score likely means it expects to catch 90 out of 100 issues overall.
It’s C because it matches the idea of the model predicting errors repeatedly on the same factory. D talks about runs but framing it as error predictions fits better with C.
Maybe C works too since it focuses on repeated predictions on the same factory, which matches the likelihood score context better than B or A. It’s about predicting errors often, not across different factories.
Yeah, D fits best because it’s about the model predicting errors over repeated runs in the same factory. D
Maybe B, since it talks about the model’s performance across multiple samples rather than repeated runs.
Does the question specify if the 0.90 likelihood score means the model is 90% confident in an error occurring, or is it more about overall accuracy? The exact definition of this confidence score seems a bit unclear.