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Results tagged with precision-recall
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user 211951
P&R are a way to measure the relevance of set of retrieved instances. Precision is the % of correct instances out of all instances retrieved. Relevance is the % of true instances retrieved. The harmonic mean of P&R is the F1-score. P&R are used in data mining to evaluate classifiers.
5
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Are precision and recall supposed to be monotonic to classification threshold
To add on Marc Claessen's answer, I'd like to point out that the precision_recall_curve method of scikit-learn appends one additional data point of (recall=0, precision=1) to the returned arrays.
As s …
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