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Post Closed as "Duplicate" by Firebug, Shawn Hemelstrand, utobi
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Jack Twain
Jack Twain
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Wikipedia says that an interpretation of the area under the ROC curve is: "the area under the curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one".

But is it the same interpretation of the area under the PR curve? If not, can you please give me an intuitive interpretation for it like the above?

Edit: PR == Precision-Recall

Wikipedia says that an interpretation of the area under the ROC curve is: "the area under the curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one".

But is it the same interpretation of the area under the PR curve? If not, can you please give me an intuitive interpretation for it like the above?

Wikipedia says that an interpretation of the area under the ROC curve is: "the area under the curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one".

But is it the same interpretation of the area under the PR curve? If not, can you please give me an intuitive interpretation for it like the above?

Edit: PR == Precision-Recall

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Jack Twain
Jack Twain
  • 8.4k
  • 16
  • 53
  • 78

An intuitive meaning of the area under the PR curve?

Wikipedia says that an interpretation of the area under the ROC curve is: "the area under the curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one".

But is it the same interpretation of the area under the PR curve? If not, can you please give me an intuitive interpretation for it like the above?