Cited by 310Data Mining Algorithms and ApplicationsMachine Learning and Data ClassificationData Mining and Machine Learning Applications

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Overfitting Avoidance as Bias

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Schaffer, Cullen·1993·Machine Learning

DOI 10.1023/a:1022653209073

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Classification and Regression Trees.
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Breiman, L., Friedman, J., Olshen, R., amp; Stone, C. (1984). Classification andRegression Trees. Pacific Grove,CA: Wadsworth amp; Brooks.
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Authors: Schaffer, C.
Affiliations: City University of New York (US)
Corresponding author: Schaffer, Cullen
Venue: Machine Learning
Publisher: Springer Science and Business Media LLC
Published: 1993-02
Volume: 10
Issue: 2
Pages: 153-178
ISSN: 0885-6125 (ISSN-L)
1573-0565
DOI: 10.1023/a:1022653209073
OpenAlex: W1995023359
Cited by: 310
References: 29
Citations by year: 2026: 2 · 2025: 7 · 2024: 10 · 2023: 12 · 2022: 12 · 2021: 29 · 2020: 19 · 2019: 11 · 2018: 6 · 2017: 7 · 2016: 5 · 2015: 3 · 2014: 2 · 2013: 1 · 2012: 5
FWCI: 62.52
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Machine Learning (publishedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
Keywords: overfitting avoidance, decision tree induction, selective pruning, bias-variance trade-off, prediction accuracy, generalization

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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Overfitting Avoidance as Bias

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