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1 parent 7e12f82 commit 1c791e0Copy full SHA for 1c791e0
source/classification2.Rmd
@@ -170,7 +170,7 @@ reported together with accuracy. *Precision* quantifies how many of the
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positive predictions the classifier made were actually positive. Intuitively,
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we would like a classifier to have a *high* precision: for a classifier with
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high precision, if the classifier reports that a new observation is positive,
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-we can trust that that new observation is indeed positive. We can compute the
+we can trust that the new observation is indeed positive. We can compute the
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precision of a classifier using the entries in the confusion matrix, with the
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formula
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