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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
Machine translation can be evaluated using precision, recall, and the F-measure. These standard measures have significantly… Expand
Highly Cited
2002
Highly Cited
2002
We present a phonetic algorithm for name searches that fuses existing techniques [the Soundex system of Russell and the… Expand
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Highly Cited
1994
Highly Cited
1994
Empirical studies of retrieval performance have shown a tendency for Precision to decline as Recall increases. This article… Expand
Highly Cited
1994
Highly Cited
1994
Empirical studies of retrieval performance have shown a tendency for Precision to decline as Recall increases. This article… Expand
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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… Expand
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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… Expand
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