Training-validation Split
Training-Validation Split is a data partitioning strategy that belongs to the class of model evaluation techniques, specifically distinguished by its division of a dataset into two disjoint subsets: one for training a model and the other for validating its performance during development.
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2017–2026
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Yun Xu, Royston Goodacre · Journal of Analysis and Testing · 2018 · 1K citations · Full text
Stage II Colon Cancer Prognosis Prediction by Tumor Gene Expression Profiling
Alain Barrier, Pierre‐Yves Boëlle, F. Röser et al. · Journal of Clinical Oncology · 2006 · 215 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
5 h-index
9 publications
1.5K citations

University of Toronto
Toronto, Canada
3 h-index
11 publications
665 citations
New York University
New York, United States
2 h-index
2 publications
65 citations

The University of Adelaide
Adelaide, Australia
2 h-index
6 publications
846 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
81 citations
The University of Texas Southwestern Medical Center
Dallas, United States
2 h-index
2 publications
101 citations
Yonsei University
Seoul, South Korea
2 h-index
8 publications
512 citations
Universität Hamburg
Hamburg, Germany
2 h-index
7 publications
510 citations
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Repository · 9 publications · 420 citations
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