ChiMerge: discretization of numeric attributes

Authors:
Randy Kerber
Affiliations:
Lockheed Artificial Intelligence Center, Palo Alto, California
Venue:
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Year:
1992

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Abstract

Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when there are numeric attributes, all numeric values must first be converted into discrete values--a process called discretization. This paper describes ChiMerge, a general, robust algorithm that uses the χ2 statistic to discretize (quantize) numeric attributes.