Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines-Reference-Cited by-同舟云学术

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Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines

Published:2020-10 Issue:7 Volume:1 Page:100115
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Li Jingyi Jessica^ORCID,Tong Xin^ORCID

Funder

National Institute of General Medical Sciences

W. M. Keck Foundation

Johnson and Johnson

National Science Foundation

Alfred P. Sloan Foundation

Publisher

Elsevier BV

Subject

General Decision Sciences

Reference54 articles.

1. Testing Statistical Hypotheses;Lehmann,2006

2. Machine Learning: A Probabilistic Perspective;Murphy,2012

3. All of Statistics: A Concise Course in Statistical Inference;Wasserman,2013

4. Test-based classification: a linkage between classification and statistical testing;Liao;Stat. Probab. Lett.,2007

5. Instance-based classification through hypothesis testing;He;arxiv,2019

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