Split-sample Validation
Split-Sample Validation is a validation protocol in which a dataset is partitioned into two distinct subsets—one used for model development or training and the other for independent evaluation—thereby enabling an assessment of the model’s generalizability while minimizing overfitting.
159
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12.7K
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728
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308
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2017–2026
47
Variants
Holdout MethodHoldout Validation
Parents
159
Operational testing of hydrological simulation models
V. Klemeš · Hydrological Sciences Journal · 1986 · 1.4K citations · Full text
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The University of Texas Health Science Center at Tyler, United States
2 publications · 245 citations
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Duke University
Durham, United States
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9 publications
2.2K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
9 publications
865 citations
The Ohio State University
Columbus, United States
4 h-index
6 publications
164 citations
University of California, San Francisco
San Francisco, United States
3 h-index
4 publications
406 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
14 publications
2.9K citations
Kaiser Permanente
Oakland, United States
3 h-index
6 publications
636 citations
Brown University
Providence, United States
3 h-index
5 publications
114 citations

Cornell University
Ithaca, United States
3 h-index
4 publications
138 citations
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Repository · 7 publications · 310 citations
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