Very Simple Classification Rules Perform Well on Most Commonly Used Datasets

Holte, Robert C.

doi:10.1023/A:1022631118932

Very Simple Classification Rules Perform Well on Most Commonly Used Datasets

Robert C. Holte

MLJ 1993 pp. 63-91

doi:10.1023/A:1022631118932 /mlj/1993/holte1993mlj-very/

Abstract

This article reports an empirical investigation of the accuracy of rules that classify examples on the basis of a single attribute. On most datasets studied, the best of these very simple rules is as accurate as the rules induced by the majority of machine learning systems. The article explores the implications of this finding for machine learning research and applications.

PDF MLJ Semantic Scholar

Cite

Text

Holte. "Very Simple Classification Rules Perform Well on Most Commonly Used Datasets." Machine Learning, 1993. doi:10.1023/A:1022631118932

Markdown

[Holte. "Very Simple Classification Rules Perform Well on Most Commonly Used Datasets." Machine Learning, 1993.](https://mlanthology.org/mlj/1993/holte1993mlj-very/) doi:10.1023/A:1022631118932

BibTeX

@article{holte1993mlj-very,
  title     = {{Very Simple Classification Rules Perform Well on Most Commonly Used Datasets}},
  author    = {Holte, Robert C.},
  journal   = {Machine Learning},
  year      = {1993},
  pages     = {63-91},
  doi       = {10.1023/A:1022631118932},
  volume    = {11},
  url       = {https://mlanthology.org/mlj/1993/holte1993mlj-very/}
}