Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results
Thomas Gärtner, Shaomin Wu, PA Flach · 2001
Abstract. This paper describes our work on the Sisyphus challenge dataset, which includes both classification and clustering tasks.. 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. 1