Bootstrap Model Selection
Bootstrap Model Selection is a statistical model selection procedure that uses bootstrap resampling techniques to assess the stability and performance of candidate models, thereby distinguishing itself from traditional model selection methods by incorporating resampling-based uncertainty estimation in the selection process.
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23K
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271
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171
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2017–2026
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120
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Ron Kohavi · 1995 · 10.7K citations · Full text
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Stanford University
Stanford, United States
8 h-index
14 publications
14.6K citations
Zimmer Biomet (Germany)
Berlin, Germany
5 h-index
11 publications
1.4K citations

Australian National University
Canberra, Australia
5 h-index
8 publications
319 citations

University of Toronto
Toronto, Canada
5 h-index
6 publications
1.5K citations

University Medical Center Freiburg
Freiburg im Breisgau, Germany
4 h-index
6 publications
285 citations
University of Iowa
Iowa City, United States
4 h-index
4 publications
338 citations

University of Minnesota
Minneapolis, United States
3 h-index
4 publications
154 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
107 citations
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9 publications · 1.5K citations
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7 publications · 982 citations
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JCGS · 5 publications · 147 citations
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4 publications · 120 citations
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SEM · 3 publications · 98 citations
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