Bernhard Pfahringer
Abstract
This short communication describes the Weka solution for the 2004 KDD cup problems, mostly focusing on the bioinformatics problem, where this approach performed best among all submissions. Differences were not significant for the best three submissions, though. The identical setup trained for the physics problem achieved rank nineteen, which is still reasonable.
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Digital Library
- E. Frank and X. Xu. Applying Propositional Learning Algorithms to Multi-instance data. Working Paper 06/03, Computer Science, University of Waikato, 2003.Google Scholar
- B. Pfahringer, G. Holmes, and C. Wang. Millions of Random Rules. In: Workshop on Advances in Inductive Rule Learning, 15th European Conference on Machine Learning (ECML), Pisa, 2004Google Scholar
Index Terms
- The Weka solution to the 2004 KDD Cup
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