Precision and recall
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In classification, precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space.
Precision and recall In classification, precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written as a formula: Recall (also known as sensitivity) is the fraction of relevant instances that were retrieved. Written as a formula: Both precision and recall are therefore based on relevance. Consider a computer program for recognizing dogs (the relevant element) in a digital photograph. Upon processing a…
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