1 |
Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction, University Press, Oxford.
|
2 |
Provost, F. and Fawcett, T. (1997). Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions, In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 43–48.
|
3 |
Servigny, A. D. and Renault, O. (2004). Measuring and Managing Credit Risk, McGraw-Hill, New York.
|
4 |
Tasche, D. (2006). Validation of Internal Rating Systems and PD Estimates, arXiv.org, eprint arXiv:physics/0606071.
|
5 |
Turney, P. D. (1995). Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm, Journal of Artificial Intelligence Research, 2, 369–409.
DOI
|
6 |
Velez, D. R., White, B. C., Motsinger, A. A., Bush,W. S., Ritchie, M. D.,Williams, S. M. and Moore, J. H. (2007). A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction, Genetic Epidemiology, 31, 306–315.
|
7 |
Vuk, M. and Curk, T. (2006). ROC curve, lift chart and calibration plot, Metodoloski Zvezki, 3, 89–108.
|
8 |
Zhou, X. H., Obuchowski, N. A. and McClish, D. K. (2002). Statistical Methods in Diagnostic Medicine, Wiley, New York.
|
9 |
Zweig, M. H. and Campbell, G. (1993). Receiver-operating characteristic(ROC) plots: A fundamental evaluation tool in clinical medicine, Clinical Chemistry, 39, 561–577.
|
10 |
Hand, D. J. (2009). Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools, In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining.
DOI
|
11 |
Hand, D. J. and Zhou, F. (2009). Evaluating models for classifying customers in retail banking collections, Journal of the Operational Society, doi:10.1057/jors.2009.129.
DOI
|
12 |
Hilden, J. and Glasziou, P. (1996). Regret graphs, diagnostic uncertainty and Youden’s index, Statistics in Medicine, 15, 969–986.
|
13 |
Kaivanto, K. (2008). Maximization of the sum of sensitivity and specificity as a diagnostic cutpoint criterion, Journal of Clinical Epidemiology, 61, 516–518.
|
14 |
Holte, R. C. and Drummond, C. (2008). Cost-sensitive classifier evaluation using cost curves, Advances in Knowledge Discovery and Data Mining, 5012, 26–29.
DOI
|
15 |
Hoshino, R., Coughtrey, D., Sivaraja, S., Volnyansky, I., Auer, S. and Trishtchenko, A. (2009). Applications and extensions of cost curves to marine container inspection, Annals of Operations Research, doi: 10.1007/s10479-009-0669-2.
DOI
|
16 |
Jund, J., Rabilloud, M., Wallon, M. and Ecochard, R. (2005). Methods to estimate the optimal threshold for normally or log-narmally distributed biological tests, Medical Decision Making, 25, 406–415.
|
17 |
Krzanowski, W. J. and Hand, D. J. (2009). ROC Curves for Continuous Data, Champman & Hall/CRC, Boca Raton, Florida.
|
18 |
Liu, Y. (2002). The evaluation of classification models for credit scoring, Arbeitsbericht, 2, 1–65.
|
19 |
Liu, Y. and Shriberg, E. (2007). Comparing evaluation metrics for sentence boundary detection, In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP’07), 4, 185–188.
|
20 |
Metz, C. E. (1978). Basic principles of ROC analysis, Seminars in Nuclear Medicine, 8, 283–298.
DOI
|
21 |
김지현 (2004). ROC and cost graphs for general cost matrix where correct classifications incur non-zero costs, <한국통계학회논문집>, 11, 21–30.
과학기술학회마을
DOI
ScienceOn
|
22 |
홍종선, 주재선, 최진수 (2010). 혼합분포에서의 최적분류점, <응용통계연구>, 23, 13-28.
DOI
ScienceOn
|
23 |
홍종선, 최진수 (2009). ROC와 CAP 곡선에서의 최적분류점, <응용통계연구>, 22, 911-921.
DOI
|
24 |
Cantor, S. B., Sun, C. C., Tortolero-Luna, G., Richards-Kortum, R. and Follen, M. (1999). A comparison of C/B ratios from studies using receiver operating characteristic curve analysis, Journal of Clinical Epidemiology, 52, 885–892.
DOI
|
25 |
Adams, N. M. and Hand, D. J. (1999). Comparing classifiers when the misallocation costs are uncertain, Pattern Recognition, 30, 1139–1147.
|
26 |
Antonie, M. L., Zaiane, O. R. and Holte, R. C. (2006). Learning to use a learned model: A two-stage approach to classication, In Proceedings of the 6th IEEE International Conference on Data Mining(ICDM’06), 33–42.
DOI
|
27 |
Briggs, W. M. and Zaretzki, R. (2007). The skill plot: a graphical technique for the evaluating the predictive usefulness of continuous diagnostic tests, Biometrics, 63, 250–261.
DOI
|
28 |
Davis, J. and Goadrich, M. (2006). The relationship between precision-recall and ROC curves, In Proceedings of the 23rd International Conference on Machine Learning(ICML’06), 233–240.
DOI
|
29 |
Drummond, C. and Holte, R. C. (2006). Cost curves: an improved method for visualizing classifier performance, Machine Learning, 65, 95–130.
DOI
|
30 |
Fawcett, T. (2006). ROC graphs with instance-varying costs, Pattern Recognition Letters archive, 27, 882–891.
DOI
|
31 |
Fielding, A. H. and Bell, J. F. (1997). A review of methods for the measurement of prediction errors in conservation presence/absence models, Environmental Conservation, 24, 38–49.
|