Model Validation is the process of evaluating a model's accuracy and reliability by comparing its predictions to empirical data to determine the extent to which it correctly represents the real-world system it is intended to simulate.
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2017–2026
344
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1.7K
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin · 2016 · 15.2K citations
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Ron Kohavi · 1995 · 10.7K citations · Full text
A survey of cross-validation procedures for model selection
2009 · 3.8K citations
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Syracuse University
Syracuse, United States
32 h-index
47 publications
5.9K citations
Vanderbilt University
Nashville, United States
19 h-index
42 publications
4.2K citations
Virginia Tech
Blacksburg, United States
18 h-index
47 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
14 h-index
30 publications
3.2K citations
Sandia National Laboratories
Albuquerque, United States
14 h-index
41 publications
3K citations
Stanford University
Stanford, United States
13 h-index
25 publications
14.8K citations
Tilburg University
Tilburg, The Netherlands
13 h-index
23 publications
2.2K citations
Delft University of Technology
Delft, The Netherlands
13 h-index
34 publications
2K citations
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- Reliability Engineering & System Safety
23 publications · 2.1K citations
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- arXiv (Cornell University)
Repository · 21 publications · 1.1K citations
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- Journal of the American Statistical Association
15 publications · 8K citations
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- European Journal of Operational Research
16 publications · 2.8K citations
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- Chemometrics and Intelligent Laboratory Systems
16 publications · 2.7K citations
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