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Precision and recall
Known as:
Precision recall
, Recall and precision
, Recall
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In pattern recognition and information retrieval with binary classification, precision (also called positive predictive value) is the fraction of…
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Related topics
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36 relations
Binary classification
Bloom filter
Bregman divergence
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Broader (2)
Bioinformatics
Information science
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Improved Precision and Recall Metric for Assessing Generative Models
T. Kynkäänniemi
,
Tero Karras
,
S. Laine
,
J. Lehtinen
,
Timo Aila
Neural Information Processing Systems
2019
Corpus ID: 118648975
The ability to automatically estimate the quality and coverage of the samples produced by a generative model is a vital…
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Highly Cited
2018
Highly Cited
2018
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
,
Olivier Bachem
,
Mario Lucic
,
O. Bousquet
,
S. Gelly
Neural Information Processing Systems
2018
Corpus ID: 44104089
Recent advances in generative modeling have led to an increased interest in the study of statistical divergences as means of…
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Review
2009
Review
2009
A Survey of Collaborative Filtering Techniques
Xiaoyuan Su
,
T. Khoshgoftaar
Advances in Artificial Intelligence
2009
Corpus ID: 1805048
As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences…
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Highly Cited
2009
Highly Cited
2009
Precision and Recall for Regression
Luís Torgo
,
Rita P. Ribeiro
IFIP Working Conference on Database Semantics
2009
Corpus ID: 13560342
Cost sensitive prediction is a key task in many real world applications. Most existing research in this area deals with…
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Highly Cited
2008
Highly Cited
2008
Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation
D. Powers
2008
Corpus ID: 55767944
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used…
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Highly Cited
2005
Highly Cited
2005
A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation
Cyril Goutte
,
Éric Gaussier
European Conference on Information Retrieval
2005
Corpus ID: 10249281
We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F-score, and 2…
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Highly Cited
2003
Highly Cited
2003
Precision and Recall of Machine Translation
I. D. Melamed
,
Ryan Green
,
Joseph P. Turian
North American Chapter of the Association for…
2003
Corpus ID: 31245542
Machine translation can be evaluated using precision, recall, and the F-measure. These standard measures have significantly…
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Highly Cited
1994
Highly Cited
1994
The Relationship between Recall and Precision
M. Buckland
,
F. Gey
Journal of the American Society for Information…
1994
Corpus ID: 46197932
Empirical studies of retrieval performance have shown a tendency for Precision to decline as Recall increases. This article…
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Highly Cited
1989
Highly Cited
1989
A critical investigation of recall and precision as measures of retrieval system performance
Vijay V. Raghavan
,
Gwang S. Jung
,
P. Bollmann-Sdorra
TOIS
1989
Corpus ID: 15413053
Recall and precision are often used to evaluate the effectiveness of information retrieval systems. They are easy to define if…
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Highly Cited
1975
Highly Cited
1975
A vector space model for automatic indexing
G. Salton
,
A. Wong
,
Chung-Shu Yang
CACM
1975
Corpus ID: 6473756
In a document retrieval, or other pattern matching environment where stored entities (documents) are compared with each other or…
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