Points of Significance: Regularization
Points of Significance: Regularization
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New York: Nature Publishing Group
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English
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New York: Nature Publishing Group
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Last month we examined the challenge of selecting a predictive model that generalizes well, and we discussed how a models ability to generalize is related to its number of parameters and its complexity1. An appropriate level of complexity is needed to avoid both underfitting and overfitting. An underfitted model is usually a poor fit to the trainin...
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Points of Significance: Regularization
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TN_cdi_proquest_journals_1831346107
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1831346107
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.4014
