Increasing Acceptability of Decision Trees with Domain Attributes Partial Orders

Authors:
Joan Albert Lopez-Vallverdu;David Riano;Antoni Collado
Affiliations:
Universitat Rovira i Virgili;Universitat Rovira i Virgili;Grup Sagessa
Venue:
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Year:
2007

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Abstract

There are several domains, such as health-care, in which the decision process usually has a background knowledge that must be considered. We need to maximize the accuracy of the models, but we also need them to be meaningful. Otherwise it will lead to the problem that the expert finds the obtained models incomprehensible. We propose a way for representing the knowledge of the experts in order to modify the C4.5 algorithm to produce decision trees which are more comprehensible to medical doctors without losing accuracy.