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What is the denominator used when calculating Precision?
Question: In one to three sentences, state what set of images forms the denominator when calculating the Precision of a cat classifier.
Sample answer: The denominator is the total number of images in the dev or test set that the classifier labeled as cats, regardless of whether that label was correct.
Key points:
- Denominator is images labeled as cats by the classifier
- Not all images in the dev or test set
- Includes both correctly and incorrectly labeled cat images
Rubric: Full credit for identifying the denominator as all images labeled as cats by the classifier, not all images in the dataset.
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True or False: Precision is computed only from images labeled as cats.
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Order the steps to compute Precision for a cat classifier.
Explain why Precision alone can be misleading when evaluating a cat classifier.
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What is the denominator used when calculating Precision?
Which scenario describes low Precision for a cat classifier?
True or False: Precision is calculated using the training set.