Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification

GECCO 2006 - Genetic and Evolutionary Computation Conference

Volumn 2, Issue , 2006, Pages 1601-1602

  Winkler, Stephan M ^a   Affenzeller, Michael ^a   Wagner, Stefan ^a  

^a UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

Author keywords

Classifier Systems; Data Mining; Machine Learning; Pattern Recognition and Classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER GRAPHICS; DATA MINING; LEARNING SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING;

CLASSIFIER SYSTEMS; GRAPHICAL DISPLAYS; MULTI-CLASS CLASSIFIERS; RECEIVER OPERATING CHARACTERISTIC (ROC);

SIGNAL RECEIVERS;

EID: 33750268594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144261     Document Type: Conference Paper

References (6)

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4. A. Srinivasan. Note on the location of optimal classifiers in n-dimensional ROC space (technical report PRG-TR-2-99). Technical report, Oxford University Computing Laboratory, 1999.
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6. S. Winkler, M. Affenzeller, and S. Wagner. Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis - An empirical study. Proceedings of the GECCO 2006 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC 2006), 2006.