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Volumn 1, Issue , 2012, Pages 310-313

On the suitability of numerical performance measures for class imbalance problems

Author keywords

Class imbalance problem; Classification; Performance measure

Indexed keywords

CLASS IMBALANCE PROBLEMS; CONFUSION MATRICES; IMBALANCED DATA SETS; PEARSON CORRELATION; PERFORMANCE MEASURE; PERFORMANCE METRICS; SKEWED DISTRIBUTION;

EID: 84862196419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (24)
  • 1
    • 77950806386 scopus 로고    scopus 로고
    • A new performance measure for class imbalance learning: Application to bioinformatics problems
    • Batuwita, R. and Palade, V. (2009). A new performance measure for class imbalance learning: application to bioinformatics problems. In the 8th ICMLA'09, pages 545-550.
    • (2009) The 8th ICMLA'09 , pp. 545-550
    • Batuwita, R.1    Palade, V.2
  • 2
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A. P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7):1145-1159.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1
  • 4
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen, J. (1960). A coefficient of agreement for nominal scales. Educ and Psychol Meas, 20(1):37-46.
    • (1960) Educ and Psychol Meas , vol.20 , Issue.1 , pp. 37-46
    • Cohen, J.1
  • 5
    • 33646421421 scopus 로고    scopus 로고
    • Evaluation of classifiers for an uneven class distribution problem
    • Daskalaki, S., Kopanas, I., and Avouris, N. (2006). Evaluation of classifiers for an uneven class distribution problem. Applied Artificial Intelligence, 20(5):381-417.
    • (2006) Applied Artificial Intelligence , vol.20 , Issue.5 , pp. 381-417
    • Daskalaki, S.1    Kopanas, I.2    Avouris, N.3
  • 6
    • 60649102026 scopus 로고    scopus 로고
    • Comparison of evaluation metrics in classification applications with imbalanced datasets
    • Fatourechi, M., Ward, R., Mason, S., Huggins, J., Schlogl, A., and Birch, G. (2008). Comparison of evaluation metrics in classification applications with imbalanced datasets. In the 7th ICMLA'08, pages 777-782.
    • (2008) The 7th ICMLA'08 , pp. 777-782
    • Fatourechi, M.1    Ward, R.2    Mason, S.3    Huggins, J.4    Schlogl, A.5    Birch, G.6
  • 7
    • 70349280929 scopus 로고    scopus 로고
    • An experimental comparison of performance measures for classification
    • Ferri, C., Hernández-Orallo, J., and Modroiu, R. (2009). An experimental comparison of performance measures for classification. Pattern Recognition Letters, 30(1):27-38.
    • (2009) Pattern Recognition Letters , vol.30 , Issue.1 , pp. 27-38
    • Ferri, C.1    Hernández-Orallo, J.2    Modroiu, R.3
  • 8
    • 60649086930 scopus 로고    scopus 로고
    • Comparison of four performance metrics for evaluating sampling techniques for low quality class-imbalanced data
    • Folleco, A., Khoshgoftaar, T. M., and Napolitano, A. (2008). Comparison of four performance metrics for evaluating sampling techniques for low quality class-imbalanced data. In the 7th ICMLA'08, pages 153-158.
    • (2008) The 7th ICMLA'08 , pp. 153-158
    • Folleco, A.1    Khoshgoftaar, T.M.2    Napolitano, A.3
  • 9
    • 78149483936 scopus 로고    scopus 로고
    • Theoretical analysis of a performance measure for im-balanced data
    • García, V., Mollineda, R. A., and Sánchez, J. S. (2010). Theoretical analysis of a performance measure for im-balanced data. In the 20th ICPR'2010, pages 617-620.
    • (2010) The 20th ICPR'2010 , pp. 617-620
    • García, V.1    Mollineda, R.A.2    Sánchez, J.S.3
  • 10
    • 73349136777 scopus 로고    scopus 로고
    • Evaluation measures of the classification performance of imbalanced data sets
    • Springer-Verlag
    • Gu, Q., Zhu, L., and Cai, Z. (2009). Evaluation measures of the classification performance of imbalanced data sets. In the 4th ISICA'09, pages 461-471. Springer-Verlag.
    • (2009) The 4th ISICA'09 , pp. 461-471
    • Gu, Q.1    Zhu, L.2    Cai, Z.3
  • 11
    • 14644390912 scopus 로고    scopus 로고
    • Using AUC and accuracy in evaluating learning algorithms
    • Huang, J. and Ling, C.-X. (2005). Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowl Data Eng, 17(3):299-310.
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , Issue.3 , pp. 299-310
    • Huang, J.1    Ling, C.-X.2
  • 12
    • 65649085468 scopus 로고    scopus 로고
    • Constructing new and better evaluation measures for machine learning
    • Huang, J. and Ling, C.-X. (2007). Constructing new and better evaluation measures for machine learning. In the 20th IJCAI'07, pages 859-864.
    • (2007) The 20th IJCAI'07 , pp. 859-864
    • Huang, J.1    Ling, C.-X.2
  • 13
    • 68249123700 scopus 로고    scopus 로고
    • The impact of gene selection on imbalanced microarray expression data
    • Kamal, A., Zhu, X., Pandya, A., Hsu, S., and Shoaib, M. (2009). The impact of gene selection on imbalanced microarray expression data. In the 1st BICoB'09, pages 259-269.
    • (2009) The 1st BICoB'09 , pp. 259-269
    • Kamal, A.1    Zhu, X.2    Pandya, A.3    Hsu, S.4    Shoaib, M.5
  • 14
    • 78650096173 scopus 로고    scopus 로고
    • Learning without default: A study of one-class classification and the low-default portfolio problem
    • Kennedy, K., Mac Namee, B., and Delany, S. (2010). Learning without default: A study of one-class classification and the low-default portfolio problem. In the AICS'09, pages 174-187.
    • (2010) The AICS'09 , pp. 174-187
    • Kennedy, K.1    Mac Namee, B.2    Delany, S.3
  • 16
    • 0001972236 scopus 로고    scopus 로고
    • Addressing the curse of imbalanced training sets: One-sided selection
    • Kubat, M. and Matwin, S. (1997). Addressing the curse of imbalanced training sets: one-sided selection. In 14th ICML, pages 179-186.
    • (1997) 14th ICML , pp. 179-186
    • Kubat, M.1    Matwin, S.2
  • 17
    • 34547372256 scopus 로고    scopus 로고
    • Optimized precision - A new measure for classifier performance evaluation
    • Ranawana, R. and Palade, V. (2006). Optimized Precision - a new measure for classifier performance evaluation. In the IEEE CEC'09, pages 2254-2261.
    • (2006) The IEEE CEC'09 , pp. 2254-2261
    • Ranawana, R.1    Palade, V.2
  • 19
    • 77949533117 scopus 로고    scopus 로고
    • A study on the relationships of classifier performance metrics
    • Seliya, N., Khoshgoftaar, T., and Van Hulse, J. (2009). A study on the relationships of classifier performance metrics. In the 21st ICTAI'09, pages 59-66.
    • (2009) The 21st ICTAI'09 , pp. 59-66
    • Seliya, N.1    Khoshgoftaar, T.2    Van Hulse, J.3
  • 20
    • 51849156137 scopus 로고    scopus 로고
    • Beyond accuracy, f-score and roc: A family of discriminant measures for performance evaluation
    • Sokolova, M., Japkowicz, N., and Szpakowicz, S. (2006). Beyond accuracy, f-score and roc: A family of discriminant measures for performance evaluation. In the AJ-CAI'06, pages 1015-1021.
    • (2006) The AJ-CAI'06 , pp. 1015-1021
    • Sokolova, M.1    Japkowicz, N.2    Szpakowicz, S.3
  • 21
    • 65649138430 scopus 로고    scopus 로고
    • A systematic analysis of performance measures for classification tasks
    • Sokolova, M. and Lapalme, G. (2009). A systematic analysis of performance measures for classification tasks. Inf Process & Manag, 45(4):427-437.
    • (2009) Inf Process & Manag , vol.45 , Issue.4 , pp. 427-437
    • Sokolova, M.1    Lapalme, G.2
  • 23
    • 0242625291 scopus 로고    scopus 로고
    • Selecting the right interestingness measure for association patterns
    • Tan, P.-N., Kumar, V., and Srivastava, J. (2002). Selecting the right interestingness measure for association patterns. In the 8th ACM SIGKDD'02, pages 32-41.
    • (2002) The 8th ACM SIGKDD'02 , pp. 32-41
    • Tan, P.-N.1    Kumar, V.2    Srivastava, J.3
  • 24
    • 84870568797 scopus 로고    scopus 로고
    • A new evaluation measure for imbalanced datasets
    • Weng, C. G. and Poon, J. (2008). A new evaluation measure for imbalanced datasets. In the 7th AusDM'08, pages 27-32.
    • (2008) The 7th AusDM'08 , pp. 27-32
    • Weng, C.G.1    Poon, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.