Aug 30, 2012 ... Evaluation: Precision and Recall. University of Washington. Linguistics 473: Computational Linguistics Fundamentals. 1. Thursday, August 30 ...

Precision and Recall

In pattern recognition and information retrieval, precision (also called positive predictive value) is the fraction of retrieved instances that are relevant, while recall (also known as sensitivity) is the fraction of relevant instances that are retrieved. Both precision and recall are therefore based on an understanding and measure of relevance. Suppose a program for recognizing dogs in scenes from a video identifies 7 dogs in a scene containing 9 dogs and some cats. If 4 of the identifications are correct, but 3 are actually cats, the program's precision is 4/7 while its recall is 4/9. When a search engine returns 30 pages only 20 of which were relevant while failing to return 40 additional relevant pages, its precision is 20/30 = 2/3 while its recall is 20/60 = 1/3.

In statistics, if the null hypothesis is that all and only the relevant items are retrieved, absence of type I and type II errors corresponds respectively to maximum precision (no false positives) and maximum recall (no false negatives). The above pattern recognition example contained 7 − 4 = 3 type I errors and 9 − 4 = 5 type II errors. Precision can be seen as a measure of exactness or quality, whereas recall is a measure of completeness or quantity.

In simple terms, high recall means that an algorithm returned most of the relevant results, while high precision means that an algorithm returned substantially more relevant results than irrelevant.

This is an excerpt from the article Precision and Recall from the Wikipedia free encyclopedia. A list of authors is available at Wikipedia.

In statistics, if the null hypothesis is that all and only the relevant items are retrieved, absence of type I and type II errors corresponds respectively to maximum precision (no false positives) and maximum recall (no false negatives). The above pattern recognition example contained 7 − 4 = 3 type I errors and 9 − 4 = 5 type II errors. Precision can be seen as a measure of exactness or quality, whereas recall is a measure of completeness or quantity.

In simple terms, high recall means that an algorithm returned most of the relevant results, while high precision means that an algorithm returned substantially more relevant results than irrelevant.

This is an excerpt from the article Precision and Recall from the Wikipedia free encyclopedia. A list of authors is available at Wikipedia.

The article Precision and Recall at en.wikipedia.org was accessed 22,211 times in the last 30 days. (as of: 07/12/2013)

Search results from Google and Bing

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Recall and Precision

Precision and Recall are the basic measures used in evaluating search strategies. As shown in the first two figures on the left, these measures assume: There is a ...

www.creighton.edu/fileadmin/user/HSL/docs/ref/Searching_-_Recall_Precision.pdf

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Precision and recall - Wikipedia, the free encyclopedia

In pattern recognition and information retrieval, precision (also called positive predictive value) is the fraction of retrieved instances that are relevant, while recall ...

en.wikipedia.org/wiki/Precision_and_recall

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FAQ: Precision and Recall Calculation - KDnuggets

Calculating Precision and Recall is actually quite easy. Imagine there are 100 positive cases among 10,000 cases. You want to predict which ones are positive, ...

www.kdnuggets.com/faq/precision-recall.html

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What is the difference between Precision and Recall? - BA Insight

Mar 7, 2011 ... Information retrieval experts define relevance as having two components; Precision and Recall In an Enterprise setting it is difficult to achieve ...

www.bainsight.com/blog-archive/Pages/3-7-2011-1.aspx

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ongoing by Tim Bray · On Search: Precision and Recall - tbray.org

Jun 22, 2003 ... Problems · While Precision and Recall are very helpful in talking about how good search systems are, they are nightmarishly difficult to actually ...

www.tbray.org/ongoing/When/200x/2003/06/22/PandR

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Computing Accuracy Precision And Recall - SlideShare

Calculating Accuracy, Precision and Recall PREDICTION.

www.slideshare.net/nicbet/computing-accuracy-precision-and-recall-presentation

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Evaluating a classification model – What does precision and recall ...

http://www.compumine.com/web/public/newsletter/20071/precision-recall. Evaluating a classification model – What does Precision and Recall tell me? Once you ...

www.cs.odu.edu/~mukka/cs495s13/Lecturenotes/Chapter5/recallprecision.pdf

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Precision & Recall tuning - Search Technologies

Precision and Recall tuning is a key part of successful search engine deployments . Search Technologies is the leading IT services company dedicated to search ...

www.searchtechnologies.com/precision-recall.html

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Accuracy and precision - Wikipedia, the…

In the fields of science, engineering, industry, and statistics, the accuracy of a measurement system is the degree of closeness of measurements of a quantity to that ...

en.wikipedia.org/wiki/Accuracy_and_precision

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Information retrieval - Wikipedia, the…

Information retrieval is the activity of obtaining information resources relevant to an information need from a collection of information resources. Searches can be ...

en.wikipedia.org/wiki/Information_retrieval

Search results for "Precision and Recall"

Google: approx. 20.400.000

Precision and Recall in science

[PDF]Lecture 13 Evaluation: Precision and Recall - University of Washington

University of Kashmir Digital Library: Precision and Recall of Five ...

Title: Precision and Recall of Five Search Engines for Retrieval of Scholarly Information in the Field of Biotechnology. Other Titles: WEBOLOGY V2(2) August, ...

[PDF]Comparative Recall and Precision of Simple and Expert Searches in ...

demography librarians at three top universities. For simple searches, Google Scholar's recall and precision are well above average. For expert searches, the ...

[PDF]Precision and Recall of GlOSS Estimators for - Stanford University

Precision and Recall of GlOSS Estimators for Database Discovery. Luis Gravano. H ector Garc a-Molina. Anthony Tomasic. Computer Science Department.

[PDF]Unachievable Region in Precision-Recall Space and Its Effect on ...

University of Wisconsin – Madison, 1300 University Avenue, Madison, WI 53706 USA. Abstract. Precision-recall (PR) curves and the areas under them are ...

Information retrieval - Wikipedia, the free encyclopedia

Many universities and public libraries use IR systems to provide access to books, ... 3.1 Precision; 3.2 Recall; 3.3 Fall-out; 3.4 F-measure; 3.5 Average precision ...

Mining photographic collections to enhance the precision and recall ...

Jun 17, 2013 ... Mining photographic collections to enhance the Precision and Recall of search results using semantically ... PhD thesis, Concordia University.

[PDF]Generative Modeling for Maximizing Precision and Recall in ...

Generative Modeling for Maximizing Precision and Recall in. Information Visualization. Jaakko Peltonen1. Samuel Kaski1,2. 1Aalto University, Department of ...

[PDF]ROC, Precision-Recall, and All That

Prof. William H. Press. Spring Term, 2008. The University of Texas at Austin. Unit 17: Classifier Performance: ROC,. Precision-Recall, and All That ...

Books on the term Precision and Recall

Foundations of Statistical Natural Language Processing

INTERPOLATED AVERAGE PRECISION LEVELS OF RECALL INTERPOLATE PRECISION-RECALL CURVES F MEASURE (d4), which averages to 0.5726. If
there are other relevant documents further down the list then these also have to
be ...

Multimedia Retrieval

13.3.4 Combining Precision and Recall: The F-Measure For many glass box
evaluations, there is no ranked list that needs to be considered. For instance, a
tool that detects video shot boundaries (see Section 13.5.1) does not really rank ...

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

100% 90% 80% 40% 50% 60% 70% 30% 20% 0% 10% 0% 10% 20% 30% 40%
50% 60% 70% 80% 90% 100% Recall P r e c i s i o n Fig. 6.5. Comparison of two
retrieval algorithms based on their precision-recall curves Evaluation Using ...

Advances In Data Mining - Multimedia Applications and Theoretical ...

4.1 Test Setup The general performance measures in information retrieval are Precision and Recall. Unlike most retrieval systems, the performance of our
system depends heavily on the writer of the documents. Our system therefore has
traits of ...

Advances In Computer Vision And Information Technology

Higher values of F1 indicate a more balanced combination between recall and precision. 4.3 Experimental Results In our experiment we have calculated recall, precision and F1, for different N values (recall that system generates top-N ...

Development of Google searches

Online sources for the term

Precision and Recall

Precision and Recall

Information Retrieval – C. J. van Rijsbergen 1979

www.dcs.gla.ac.uk/Keith/Preface.html
Blog posts on the term

Precision and Recall

Precision and Recall

[1307.2611] Controlling the Precision-Recall Tradeoff in Differential Dependency
Network Analysis
arxiv.org/abs/1307.2611

machine learning - Calculate precision and recall - Cross Validated
stats.stackexchange.com/questions/63477/calculate-precision-and-recall

Improving Precision and Recall in SharePoint | TextRadar

Posted on July 1, 2013 by admin.

textradar.com/2013/07/improving-precision-and-recall-in-sharepoint/
Technology-Assisted Review: Precision and Recall, in Plain English | Part of the Solution

Idealistic musings about eDiscovery (by Gary Wiener)

garywiener.wordpress.com/2013/06/18/technology-assisted-review-precision-and-recall-in-plain-english/
New EDRM White Paper: Control Sets – Introducing Precision, Recall, and F1 into Relativity Assisted Review « EDRM
www.edrm.net/archives/18952

machine learning - Confusion about Precision and Recall in Spam detection - Stack Overflow
stackoverflow.com/questions/16051721/confusion-about-precision-and-recall-in-spam-detection

State-of-the-art mobile search part 8: evaluation | The Slalom Blog

Bringing business and technology expertise together.

blog.slalom.com/2013/07/10/state-of-the-art-mobile-search-part-8-evaluation/
Unusual Precision-Recall Curve | Question and Answer

Looking at precision-recall curves to evaluate an information retrieval system. Typically, these are done with a set of samples, with what users have

qandasys.info/unusual-precision-recall-curve/
Perbedaan: precision, recall & accuracy | DATA's BASE

~ just a geek's documentation ~ (by DataQ)

dataq.wordpress.com/2013/06/16/perbedaan-precision-recall-accuracy/
CleverWorkarounds » A lesser known way to fine-tune SharePoint search precision…
www.cleverworkarounds.com/2013/06/28/a-lesser-known-way-to-fine-tune-sharepoint-search-precision/

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