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b/03_instructional_team/markdown_slides/Classification_II.md index 380441ef..ccadb25e 100644 --- a/03_instructional_team/markdown_slides/Classification_II.md +++ b/03_instructional_team/markdown_slides/Classification_II.md @@ -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