Pre-Pruning

doi:10.1007/978-0-387-30164-8_663

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Synonyms

Stopping criteria

Definition

Pre-pruning is a Pruning mechanism that monitors the learning process and prevents further refinements if the current hypothesis becomes too complex.

Cross References

Overfitting

Post-Pruning

Pruning

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Editors and Affiliations

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). Pre-Pruning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_663

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DOI: https://doi.org/10.1007/978-0-387-30164-8_663
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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