(Enter summary)
Abstract: The Receiver Operating Characteristic
(ROC) has become a standard tool for the
analysis and comparision of classifiers when
the costs of misclassification are unknown. (Update)
Cited by: More
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BibTeX entry: (Update)
Fieldsend, J., & Everson, R. (2005). Formulation and comparison of multi-class ROC surfaces. Proceedings of the 2nd ROC Analysis in Machine Learning Workshop, part of the 22nd International Conference on Machine Learning (ICML 2005) (pp. 41-- 48). http://citeseer.ist.psu.edu/article/fieldsend05formulation.html More
@misc{ fieldsend05formulation,
author = "J. Fieldsend and R. Everson",
title = "Formulation and comparison of multi-class ROC surfaces",
text = "Fieldsend, J., & Everson, R. (2005). Formulation and comparison of multi-class
ROC surfaces. Proceedings of the 2nd ROC Analysis in Machine Learning Workshop,
part of the 22nd International Conference on Machine Learning (ICML 2005)
(pp. 41-- 48).",
year = "2005",
url = "citeseer.ist.psu.edu/article/fieldsend05formulation.html" }
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