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FLAIRS
2008

Combining Naive Bayes and Decision Tables

11 years 2 months ago
Combining Naive Bayes and Decision Tables
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficiently, and the same holds true for the combined semi-naive model. We show that the resulting ranker, compared to either component technique, frequently significantly increases AUC. For some datasets it significantly improves on both techniques. This is also the case when attribute selection is performed in naive Bayes and its semi-naive variant.
Mark Hall, Eibe Frank
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where FLAIRS
Authors Mark Hall, Eibe Frank
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