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Precrec: fast and accurate precision–recall and ROC curve calculations in R

SUMMARY: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available. We have developed Precrec, an R library that aims to overcome this limita...

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Detalles Bibliográficos
Autores principales: Saito, Takaya, Rehmsmeier, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408773/
https://www.ncbi.nlm.nih.gov/pubmed/27591081
http://dx.doi.org/10.1093/bioinformatics/btw570
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author Saito, Takaya
Rehmsmeier, Marc
author_facet Saito, Takaya
Rehmsmeier, Marc
author_sort Saito, Takaya
collection PubMed
description SUMMARY: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available. We have developed Precrec, an R library that aims to overcome this limitation of the plot. Our tool provides fast and accurate precision–recall calculations together with multiple functionalities that work efficiently under different conditions. AVAILABILITY AND IMPLEMENTATION: Precrec is licensed under GPL-3 and freely available from CRAN (https://cran.r-project.org/package=precrec). It is implemented in R with C ++. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-54087732017-05-03 Precrec: fast and accurate precision–recall and ROC curve calculations in R Saito, Takaya Rehmsmeier, Marc Bioinformatics Applications Notes SUMMARY: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available. We have developed Precrec, an R library that aims to overcome this limitation of the plot. Our tool provides fast and accurate precision–recall calculations together with multiple functionalities that work efficiently under different conditions. AVAILABILITY AND IMPLEMENTATION: Precrec is licensed under GPL-3 and freely available from CRAN (https://cran.r-project.org/package=precrec). It is implemented in R with C ++. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-01-01 2016-09-01 /pmc/articles/PMC5408773/ /pubmed/27591081 http://dx.doi.org/10.1093/bioinformatics/btw570 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Saito, Takaya
Rehmsmeier, Marc
Precrec: fast and accurate precision–recall and ROC curve calculations in R
title Precrec: fast and accurate precision–recall and ROC curve calculations in R
title_full Precrec: fast and accurate precision–recall and ROC curve calculations in R
title_fullStr Precrec: fast and accurate precision–recall and ROC curve calculations in R
title_full_unstemmed Precrec: fast and accurate precision–recall and ROC curve calculations in R
title_short Precrec: fast and accurate precision–recall and ROC curve calculations in R
title_sort precrec: fast and accurate precision–recall and roc curve calculations in r
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408773/
https://www.ncbi.nlm.nih.gov/pubmed/27591081
http://dx.doi.org/10.1093/bioinformatics/btw570
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