Stratified Cross Validation

doi:10.1007/978-0-387-30164-8_788

Stratified Cross Validation

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Stratified Cross Validation is a form of cross validation in which the class distribution is kept as close as possible to being the same across all folds.

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School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052
Claude Sammut
Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800
Geoffrey I. Webb

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(2011). Stratified Cross Validation. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_788

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DOI: https://doi.org/10.1007/978-0-387-30164-8_788
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering

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