Receiver operating characteristic (ROC) packages comparison in R

doi:10.1007/978-3-319-62395-5_37

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52742

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Campo DC	Valor	Idioma
dc.contributor.author	Da Cunha, Daniela Ferreira	por
dc.contributor.author	Braga, A. C.	por
dc.date.accessioned	2018-03-19T10:42:54Z	-
dc.date.issued	2017	-
dc.identifier.isbn	9783319623948	por
dc.identifier.issn	0302-9743	-
dc.identifier.uri	https://hdl.handle.net/1822/52742	-
dc.description.abstract	The Receiver Operating Characteristic (ROC) curve analysis and the resulting plot can be used as a tool to select optimal models of possibility and to discard those of inferior quality from the cost of context (or class distribution). Presently, this type of analysis is used in a variety of fields from the medical community, bioinformatics, military and finance. There is a variety of software packages available for ROC analysis, and this analysis will focus on those specific of R and open source. The chosen packages were: ROCR, Verification, caTools, Comp2ROC, and Epi available on CRAN, and the ROC library from Bioconductor. This work intends to make a comparative analysis of the main characteristics of these R packages.	por
dc.description.sponsorship	This work was supported by FCT - (Fundação para a Ciência e Tecnologia) within the Project Scope: UID/CEC/00319/2013.	por
dc.language.iso	eng	por
dc.publisher	Springer Verlag	por
dc.relation	info:eu-repo/grantAgreement/FCT/5876/147280/PT	por
dc.rights	restrictedAccess	por
dc.subject	CaTools	por
dc.subject	Comp2ROC	por
dc.subject	PROC	por
dc.subject	R	por
dc.subject	ROC curves	por
dc.subject	ROCR	por
dc.subject	Verification Bioconductor	por
dc.subject	Verification	por
dc.subject	Bioconductor	por
dc.title	Receiver operating characteristic (ROC) packages comparison in R	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
oaire.citationStartPage	545	por
oaire.citationEndPage	559	por
oaire.citationVolume	10405	por
dc.date.updated	2018-03-14T15:22:31Z	-
dc.identifier.doi	10.1007/978-3-319-62395-5_37	por
dc.description.publicationversion	info:eu-repo/semantics/publishedVersion	por
dc.subject.wos	Science & Technology	por
sdum.export.identifier	4501	-
sdum.journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	por
sdum.conferencePublication	COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT II	por
Aparece nas coleções:	CAlg - Artigos em livros de atas/Papers in proceedings

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