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Precrec: fast and accurate precision-recall and ROC curve calculations in R.
Saito, Takaya; Rehmsmeier, Marc.
Afiliação
  • Saito T; Computational Biology Unit, Department of Informatics, University of Bergen, N-5020 Bergen, Norway.
  • Rehmsmeier M; Computational Biology Unit, Department of Informatics, University of Bergen, N-5020 Bergen, Norway.
Bioinformatics ; 33(1): 145-147, 2017 01 01.
Article em En | MEDLINE | ID: mdl-27591081
ABSTRACT
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 ++. CONTACT takaya.saito@ii.uib.noSupplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Curva ROC / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Curva ROC / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Noruega
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