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PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Romano, Joseph D; Le, Trang T; La Cava, William; Gregg, John T; Goldberg, Daniel J; Chakraborty, Praneel; Ray, Natasha L; Himmelstein, Daniel; Fu, Weixuan; Moore, Jason H.
Afiliação
  • Romano JD; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Le TT; Center of Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • La Cava W; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Gregg JT; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Goldberg DJ; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Chakraborty P; Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
  • Ray NL; School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Himmelstein D; Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Fu W; Princeton Day School, Princeton, NJ 08540, USA.
  • Moore JH; Related Sciences, Denver, CO 80220, USA.
Bioinformatics ; 38(3): 878-880, 2022 01 12.
Article em En | MEDLINE | ID: mdl-34677586
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Benchmarking Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Benchmarking Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos