Prediction or interpretability?

The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sources of potential confusion in the paper for readers: one lies...

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Detalles Bibliográficos
Autor principal: Nembrini, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617852/
https://www.ncbi.nlm.nih.gov/pubmed/31333752
http://dx.doi.org/10.1186/s12982-019-0086-1
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author Nembrini, Stefano
author_facet Nembrini, Stefano
author_sort Nembrini, Stefano
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description The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sources of potential confusion in the paper for readers: one lies in the definition and the comparison of CITs and CARTs, while the other is more general and it refers to the use of hyper-parameters and their tuning through resampling techniques.
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spelling pubmed-66178522019-07-22 Prediction or interpretability? Nembrini, Stefano Emerg Themes Epidemiol Commentary The journal published a review of the literature on recursive partition in epidemiological research comparing two decision tree methods: classification and regression trees (CARTs) and conditional inference trees (CITs). There are two sources of potential confusion in the paper for readers: one lies in the definition and the comparison of CITs and CARTs, while the other is more general and it refers to the use of hyper-parameters and their tuning through resampling techniques. BioMed Central 2019-07-10 /pmc/articles/PMC6617852/ /pubmed/31333752 http://dx.doi.org/10.1186/s12982-019-0086-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Nembrini, Stefano
Prediction or interpretability?
title Prediction or interpretability?
title_full Prediction or interpretability?
title_fullStr Prediction or interpretability?
title_full_unstemmed Prediction or interpretability?
title_short Prediction or interpretability?
title_sort prediction or interpretability?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617852/
https://www.ncbi.nlm.nih.gov/pubmed/31333752
http://dx.doi.org/10.1186/s12982-019-0086-1
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