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Data mining / Information retrieval / Information science / Precision and recall / Receiver operating characteristic / Curve / F1 score / Sensitivity and specificity / Skewness / Statistics / Bioinformatics / Biostatistics


Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation Kendrick Boyd University of Wisconsin – Madison, 1300 University Avenue, Madison, WIUSA
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Document Date: 2012-09-12 14:46:51

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City

Madison / PORTO / J. Gradient / New York / Edinburgh / Oxford / /

Company

Neural Information Processing Systems / Cambridge University Press / Computer Sciences / Chawla N.V. / IMDB / /

Country

Belgium / United States / United Kingdom / Scotland / /

Currency

pence / /

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Event

Product Issues / Product Recall / /

Facility

University Avenue / University of Wisconsin / /

IndustryTerm

logic networks / machine learning algorithm / closed form solution / recall solutions / learning algorithm / learning algorithms / /

Organization

Cambridge University / USA V / National Institute of Health / UW Carbone Cancer Center / European Union / University of Wisconsin / Department of Computer Sciences / /

Person

C. David Page / Jude Shavlik / Stanley Kok / Jesse Davis / Marie Curie / Campo Alegre / /

Position

author / director gender genre movie workedUnder / Governor / actor / /

Product

space / Precision- / 0.2 0 0 0.2 0.4 0.6 0.8 1 / F1 / low precision / /

ProvinceOrState

Wisconsin / New York / /

PublishedMedium

Machine Learning / /

Technology

learning algorithm / bioinformatics / machine learning algorithm / LSM algorithm / machine learning / /

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