Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52742| Título: | Receiver operating characteristic (ROC) packages comparison in R |
| Autor(es): | Da Cunha, Daniela Ferreira Braga, A. C. |
| Palavras-chave: | CaTools Comp2ROC PROC R ROC curves ROCR Verification Bioconductor Verification Bioconductor |
| Data: | 2017 |
| Editora: | Springer Verlag |
| Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Resumo(s): | 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. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/52742 |
| ISBN: | 9783319623948 |
| DOI: | 10.1007/978-3-319-62395-5_37 |
| ISSN: | 0302-9743 |
| Arbitragem científica: | yes |
| Acesso: | Acesso restrito UMinho |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| ROC_packages_comp.pdf Acesso restrito! | 905,53 kB | Adobe PDF | Ver/Abrir |
