350px|Precision and recall In pattern recognition, information retrieval and classification (machine learning), precision (also called sensitivity ) is the fraction of relevant instances among the retrieved instances, while recall (also known as positive predictive value ) is the fraction of relevant instances that were retrieved. Both precision and recall are therefore based on relevance.
350px|Precision and recall In pattern recognition, information retrieval and classification (machine learning), precision (also called positive predictive value ) is the fraction of relevant instances among the retrieved instances, while recall (also known as sensitivity ) is the fraction of relevant instances that were retrieved. Both precision and recall are therefore based on relevance.
R
sensitivity
positive predictive value
R
positive predictive value
sensitivity