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Results tagged with precision-recall
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user 17192
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.
4
votes
what if precision equals to 1?
This means that all your positive samples are classified as positive samples and none of the positive samples are classified incorrectly. Precision alone will not tell you enough about the classifiers …
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