Input dependent misclassification costs for cost-sensitive classifiers

Abstract

In data mining and in classification specifically, cost issues have been undervalued for a long time, although they are of crucial importance in real-world applications. Recently, however, cost issues have received growing attention, see for example [1,2,3]. Cost-sensitive classifiers are usually based on the assumption of constant misclassification costs… (More)

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Cite this paper

@inproceedings{Hollmn2000InputDM, title={Input dependent misclassification costs for cost-sensitive classifiers}, author={Jaakko Hollm{\'e}n and Michiaki Taniguchi}, year={2000} }