ROC analysis with Matlab

Proceedings of the International Conference on Information Technology Interfaces, ITI

Volumn , Issue , 2007, Pages 191-196

  Slaby, Antonin ^a  

^a UNIVERSITY OF HRADEC KRALOVE   (Czech Republic)

Author keywords

COST analysis; Matlab applications; ROC analysis

Indexed keywords

COST ACCOUNTING; INFORMATION TECHNOLOGY; MATLAB; TECHNOLOGY;

COST ANALYSIS; COST CURVES; INTERNATIONAL CONFERENCES; MATLAB APPLICATIONS; MATLAB- SOFTWARE; PRACTICAL PROBLEMS; ROC ANALYSIS; SOURCE FILES;

COST BENEFIT ANALYSIS;

EID: 48349123994     PISSN: 13301012     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITI.2007.4283768     Document Type: Conference Paper

References (5)

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2. Holte, R. C.: 1993, 'Very Simple Classification Rules Perform Well on Most Commonly Used Datasets'. Machine Learning 11(1), 63-91.
3. Provost, F. and T. Fawcett: 1997, Analysis and Visualization of Classifier Per-formance: Comparison under Imprecise Class and Cost Distributions. In: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. pp. 43-48.
4. Drummond, C. and R. C. Holte: 2000a, Explicitly Representing Expected Cost: An Alternative to ROC Representation. In: Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining. pp. 198-207.
5. Ferri, C., P. A. Flach, and J. Herńandez-Orallo: 2002, Learning Decision Trees Using the Area Under the ROC Curve. In: Proceedings of the 9th Int. Conference on Machine Learning. pp. 139-146.