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Precision and recall

Known as: Precision recall, Recall and precision, Recall 
In pattern recognition and information retrieval with binary classification, precision (also called positive predictive value) is the fraction of… 
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Papers overview

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Review
2009
Review
2009
As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences… 
Highly Cited
2009
Highly Cited
2009
Cost sensitive prediction is a key task in many real world applications. Most existing research in this area deals with… 
Highly Cited
2008
Highly Cited
2008
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… 
Highly Cited
2007
Highly Cited
2007
In order to evaluate ontology matching algorithms it is necessary to confront them with test ontologies and to compare the… 
Highly Cited
2005
Highly Cited
2005
We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F-score, and 2… 
Highly Cited
2005
Highly Cited
2005
In order to evaluate the performance of ontology matching algorithms it is necessary to confront them with test ontologies and to… 
Highly Cited
2003
Highly Cited
2003
Machine translation can be evaluated using precision, recall, and the F-measure. These standard measures have significantly… 
Highly Cited
1994
Highly Cited
1994
Empirical studies of retrieval performance have shown a tendency for Precision to decline as Recall increases. This article… 
Highly Cited
1989
Highly Cited
1989
Recall and precision are often used to evaluate the effectiveness of information retrieval systems. They are easy to define if… 
Highly Cited
1975
Highly Cited
1975
In a document retrieval, or other pattern matching environment where stored entities (documents) are compared with each other or…