Theoretical analysis of a performance measure for imbalanced data

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 617-620

  Garcia V ^a   Mollineda, R A ^a   Sanchez J S ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; IMBALANCED DATA; PERFORMANCE MEASURE;

PATTERN RECOGNITION;

EID: 78149483936     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.156     Document Type: Conference Paper

References (10)

1. P. W. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Patt. Recog., 30(7):1145-1159, 1997.
2. S. Daskalaki, I. Kopanas, and N. Avouris. Evaluation of classifiers for an uneven class distribution problem. Appl. Artif. Intell., 20(5):381-417, 2006.
3. C. Ferri, J. Hernández-Orallo, and R. Modroiu. An experimental comparison of performance measures for classification. Patt. Recog. Lett., 30(1):27-38, 2009.
4. V. García, R. A. Mollineda, and J. S. Sánchez. Index of balanced accuracy: A performance measure for skewed class distributions. In 4th IbPRIA, pages 441-448, 2009.
5. J. Huang and C. X. Ling. Constructing new and better evaluation measures for machine learning. In 20th IJCAI, pages 859-864, 2007.
6. N. Japkowicz and S. Stephen. The class imbalance problem: a systematic study. Intell. Data Anal., 6(5):40-49, 2002.
7. M. Kubat and S. Matwin. Addressing the curse of imbalanced training sets: one-sided selection. In 14th ICML, pages 179-186, 1997.
8. R. Ranawana and V. Palade. Optimized Precision - A new measure for classifier performance evaluation. In IEEE CEC, pages 2254-2261, 2006.
9. M. Sokolova. Assessing invariance properties of evaluation measures. In Workshop on Testing of Deployable Learning and Decision Systems, 2006.
10. Y. Sun, A. K. C.Wong, and M. S. Kamel. Classification of imbalanced data: A review. Int'l. J. Patt. Recog. Artif. Intell., 23(4):687-719, 2009.