Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results

Thomas Gärtner, Shaomin Wu, and Peter A. Flach. In Christophe Giraud-Carrier, Nada Lavrac, and Steve Moyle, editors, Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pages 69--80. ECML/PKDD'01 workshop notes, September 2001. More behind this link.

Abstract

This paper describes our work on the Sisyphus challenge dataset, which includes both classification and clustering tasks. We present our work in the context of the CRISP-DM methodology. Further key aspects of the work are the evaluation and integration of multiple models by means of ROC analysis. We indicate a simple method of forcing classifiers to cover the whole of the ROC space. In conclusion, we outline several promising research directions.

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T Gaertner, gaertner@cs.bris.ac.uk,

S Wu, shaomin@cs.bris.ac.uk,