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A unified view of performance metrics: translating threshold choice into expected classification loss

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A unified view of performance metrics: translating threshold choice into expected classification loss

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José Hernández-Orallo; Flach, P.; Ferri Ramírez, C. (2012). A unified view of performance metrics: translating threshold choice into expected classification loss. Journal of Machine Learning Research. 13:2813-2869. http://hdl.handle.net/10251/47702

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Title: A unified view of performance metrics: translating threshold choice into expected classification loss
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Many performance metrics have been introduced in the literature for the evaluation of classification performance, each of them with different origins and areas of application. These metrics include accuracy, unweighted ...[+]
Subjects: Classification performance metrics , Cost-sensitive evaluation , Operating condition , Brier score , Area under the ROC curve (AUC) , Calibration loss , Refinement loss
Copyrigths: Reserva de todos los derechos
Source:
Journal of Machine Learning Research. (issn: 1533-7928 )
Publisher:
Microtome Publishing
Publisher version: http://www.jmlr.org/papers/v13/hernandez-orallo12a.html
Type: Artículo

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