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Decision support for data mining: introduction to ROC analysis and its application

P.A. Flach, H. Blockeel, C. Ferri, J. Hernandez-Orallo, J. Struyf, Decision support for data mining: introduction to ROC analysis and its application. Chapter in Data Mining and Decision Support: Aspects of Integration and Collaboration. ISBN 1-4020-7388-7, pp. 81–90. January 2003. PDF, 104 Kbytes. External information

Abstract

In this chapter we give an introduction to ROC (``receiver operating characteristics'') analysis and its applications to data mining. We argue that ROC analysis provides decision support for data mining in several ways. For model selection, ROC analysis establishes a method to determine the optimal model once the operating characteristics for the model deployment context are known. We also show how ROC analysis can aid in constructing and refining models in the modeling stage.

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