CompTIA
DY0-001 · Question #64
A computer vision model is trained to identify cats on a training set that is composed of both cat and dog images. The model predicts a picture of a cat is a dog. Which of the following describes…
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Modeling, Analysis, and Outcomes
Question
A computer vision model is trained to identify cats on a training set that is composed of both cat and dog images. The model predicts a picture of a cat is a dog. Which of the following describes this error?
Options
- AError due to reality
- BFalse positive error
- CSampling error
- DType II error
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Topics
#Type II error#false negative#classification error#model evaluation