ML Anthology

Cost-Sensitive Pruning of Decision Trees

Ulrich Knoll, Gholamreza Nakhaeizadeh, Birgit Tausend
ECML-PKDD 1994 pp. 383-386
doi:10.1007/3-540-57868-4_79 /ecmlpkdd/1994/knoll1994ecml-costsensitive/

Abstract

The pruning of decision trees often relies on the classification accuracy of the decision tree. In this paper, we show how the misclassification costs, a related criterion applied if errors vary in their costs, can be integrated in several well-known pruning techniques.

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Cite

Text

Knoll et al. "Cost-Sensitive Pruning of Decision Trees." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_79

Markdown

[Knoll et al. "Cost-Sensitive Pruning of Decision Trees." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/knoll1994ecml-costsensitive/) doi:10.1007/3-540-57868-4_79

BibTeX

@inproceedings{knoll1994ecml-costsensitive,
  title     = {{Cost-Sensitive Pruning of Decision Trees}},
  author    = {Knoll, Ulrich and Nakhaeizadeh, Gholamreza and Tausend, Birgit},
  booktitle = {European Conference on Machine Learning},
  year      = {1994},
  pages     = {383-386},
  doi       = {10.1007/3-540-57868-4_79},
  url       = {https://mlanthology.org/ecmlpkdd/1994/knoll1994ecml-costsensitive/}
}