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Reply: metrics to assess machine learning models
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550213/ https://www.ncbi.nlm.nih.gov/pubmed/31304336 http://dx.doi.org/10.1038/s41746-018-0063-z |
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author | Rajkomar, Alvin Dai, Andrew M. Sun, Mimi Hardt, Michaela Chen, Kai Rough, Kathryn Dean, Jeffrey |
author_facet | Rajkomar, Alvin Dai, Andrew M. Sun, Mimi Hardt, Michaela Chen, Kai Rough, Kathryn Dean, Jeffrey |
author_sort | Rajkomar, Alvin |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-6550213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65502132019-07-12 Reply: metrics to assess machine learning models Rajkomar, Alvin Dai, Andrew M. Sun, Mimi Hardt, Michaela Chen, Kai Rough, Kathryn Dean, Jeffrey NPJ Digit Med Correspondence Nature Publishing Group UK 2018-10-10 /pmc/articles/PMC6550213/ /pubmed/31304336 http://dx.doi.org/10.1038/s41746-018-0063-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Correspondence Rajkomar, Alvin Dai, Andrew M. Sun, Mimi Hardt, Michaela Chen, Kai Rough, Kathryn Dean, Jeffrey Reply: metrics to assess machine learning models |
title | Reply: metrics to assess machine learning models |
title_full | Reply: metrics to assess machine learning models |
title_fullStr | Reply: metrics to assess machine learning models |
title_full_unstemmed | Reply: metrics to assess machine learning models |
title_short | Reply: metrics to assess machine learning models |
title_sort | reply: metrics to assess machine learning models |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550213/ https://www.ncbi.nlm.nih.gov/pubmed/31304336 http://dx.doi.org/10.1038/s41746-018-0063-z |
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