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

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Overfitting Avoidance as Bias

Open access
Schaffer, Cullen·1993·Machine Learning

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Crossref · 10.1023/a:1022653209073

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Research works printed but not linked: 2

  1. Breiman, L., Friedman, J., Olshen, R., amp; Stone, C. (1984). Classification andRegression Trees. Pacific Grove,CA: Wadsworth amp; Brooks.
  2. Holte, R.C. (1991). Very simple classification rules perform well on most datasets(Technical Report TR-91-16).Ottawa, Canada: University of Ottawa, Department of Computer Science.

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Metadata

Authors
Schaffer, C.
Affiliations
City University of New York (US)
Corresponding author
Schaffer, Cullen
Venue
Machine Learning
Published
1993-02
Volume
10
Issue
2
Pages
153-178
ISSN
  • 0885-6125 (ISSN-L)
  • 1573-0565
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
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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