Prediction or interpretability?

Prediction or interpretability?

Abstract 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:...

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Main Author: Stefano Nembrini
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Emerging Themes in Epidemiology
Online Access:http://link.springer.com/article/10.1186/s12982-019-0086-1
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spelling doaj-c34461ddf931463f94f6bf6e6ad1e6062020-11-25T03:24:09ZengBMCEmerging Themes in Epidemiology1742-76222019-07-011611310.1186/s12982-019-0086-1Prediction or interpretability?Stefano Nembrini0Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, Emerging Pathogens Institute, University of FloridaAbstract 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.http://link.springer.com/article/10.1186/s12982-019-0086-1
collection DOAJ
language English
format Article
sources DOAJ
author Stefano Nembrini
spellingShingle Stefano Nembrini
Prediction or interpretability?
Emerging Themes in Epidemiology
author_facet Stefano Nembrini
author_sort Stefano Nembrini
title Prediction or interpretability?
title_short Prediction or interpretability?
title_full Prediction or interpretability?
title_fullStr Prediction or interpretability?
title_full_unstemmed Prediction or interpretability?
title_sort prediction or interpretability?
publisher BMC
series Emerging Themes in Epidemiology
issn 1742-7622
publishDate 2019-07-01
description Abstract 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.
url http://link.springer.com/article/10.1186/s12982-019-0086-1
work_keys_str_mv AT stefanonembrini predictionorinterpretability
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