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Results tagged with precision-recall
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user 92724
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.
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What are benchmarks for precision when working with unbalanced data?
I have a dataset where the positive class is 1.7%, which equates to about 40k positive cases and a total basis of approx 2.5m.
What is a realistic precision to achieve for the most likely to cancel? …
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