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ROC curves in cost space

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ROC curves in cost space

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Hernández Orallo, J.; Flach ., P.; Ferri Ramírez, C. (2013). ROC curves in cost space. Machine Learning. 93(1):71-91. doi:10.1007/s10994-013-5328-9

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38999

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Title: ROC curves in cost space
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ...[+]
Subjects: Cost curves , ROC curves , Cost-sensitive evaluation , Ranking performance , Operating condition , Kendall tau distance , Area Under the ROC Curve (AUC)
Copyrigths: Reserva de todos los derechos
Source:
Machine Learning. (issn: 0885-6125 )
DOI: 10.1007/s10994-013-5328-9
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/article/10.1007/s10994-013-5328-9#
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s10994-013-5328-9
Thanks:
We would like to thank the anonymous referees for their helpful comments. This work was supported by the MEC/MINECO projects CONSOLIDER-INGENIO CSD2007-00022 and TIN 2010-21062-C02-02, GVA project PROMETEO/2008/051, the ...[+]
Type: Artículo

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