Decision Support for Data Mining
msra(2003)
摘要
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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