Points of Significance: Model selection and overfitting
Points of Significance: Model selection and overfitting
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New York: Nature Publishing Group
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Language
English
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New York: Nature Publishing Group
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Contents
Overfitting is a challenge for regression and classification problems. (a) When model complexity increases, generally bias decreases and variance increases. The choice of model complexity is informed by the goal of minimizing the total error (dotted vertical line). (b) Polynomialfits to data simulated from a third-order polynomial underlying a mode...
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Full title
Points of Significance: Model selection and overfitting
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TN_cdi_proquest_journals_1817862312
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1817862312
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.3968
