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fix a typo
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HongleiXie committed Sep 26, 2024
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Expand Up @@ -67,7 +67,7 @@ $$
**Recall:** quantifies how many positive observations in the test set were identified as positive

$$
\text{Precision} = \frac{\text{Number of correct positive predictions}}{\text{total number of positive test set observations}}
\text{Recall} = \frac{\text{Number of correct positive predictions}}{\text{total number of positive test set observations}}
$$

- A good classifier would have high precision and high recall
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