Implementing machine learning methods with complex survey data: Lessons learned on the impacts of ac...
Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Despite the prominent use of complex survey data and the growing popularity of machine learning methods in epidemiologic research, few machine learning software implementations offer options for handling complex samples. A major challenge impeding the broader incorporation of machine learning into epidemiologic research is incomplete guidance for a...
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Full title
Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting
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TN_cdi_plos_journals_2765305345
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2765305345
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0280387
