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2005
IEEE

Obtaining Best Parameter Values for Accurate Classification

9 years 5 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. We show that accuracy can almost always be improved by a suitable choice of threshold values, and we describe a method for finding the best values. We present results that demonstrate this approach can obtain higher accuracy without the need for coverage analysis of the training data.
Frans Coenen, Paul H. Leng
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDM
Authors Frans Coenen, Paul H. Leng
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