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Rule Induction

In: Machine Learning for Data Science Handbook

Author

Listed:
  • Jerzy W. Grzymala-Busse

    (University of Kansas)

Abstract

This chapter begins with a brief discussion of some problems associated with input data. Then different rule types are defined. Four representative rule induction methods: LEM1, LEM2, MLEM2, and AQ are presented. An idea of a classification system, where rule sets are utilized to classify new cases, is introduced. Methods to evaluate an error rate associated with classification of unseen cases using the rule set are described. Finally, some more advanced methods are listed.

Suggested Citation

  • Jerzy W. Grzymala-Busse, 2023. "Rule Induction," Springer Books, in: Lior Rokach & Oded Maimon & Erez Shmueli (ed.), Machine Learning for Data Science Handbook, edition 0, pages 55-74, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-24628-9_4
    DOI: 10.1007/978-3-031-24628-9_4
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