Machine Learning

, Volume 3, Issue 4, pp 261–283

The CN2 Induction Algorithm

  • Peter Clark
  • Tim Niblett

DOI: 10.1023/A:1022641700528

Cite this article as:
Clark, P. & Niblett, T. Machine Learning (1989) 3: 261. doi:10.1023/A:1022641700528


Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system, CN2, designed for the efficient induction of simple, comprehensible production rules in domains where problems of poor description language and/or noise may be present. Implementations of the CN2, ID3, and AQ algorithms are compared on three medical classification tasks.

Concept learning rule induction noise comprehensibility 
Download to read the full article text

Copyright information

© Kluwer Academic Publishers 1989

Authors and Affiliations

  • Peter Clark
  • Tim Niblett

There are no affiliations available

Personalised recommendations