CompTIA
DY0-001 · Question #31
DY0-001 Question #31: Real Exam Question with Answer & Explanation
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Question
A data scientist has built a model that provides the likelihood of an error occurring in a factory. The 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?
Options
- ARunning this model for all known factory issues, it is expected the model will identify 90 out of 100
- BRunning this model on 100 samples of factories, a certain model performance is expected for 90
- CRunning this model 100 times on a factory, it is expected the model will predict 90 out of 100
- DRunning this model 100 times within a factory it is expected the model will predict error 90 out of
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