ROC curves and the X2 test

作者: Andrew P. Bradley

DOI: 10.1016/0167-8655(95)00121-2

关键词:

摘要: In this paper we review the Receiver Operating Characteristic (ROC) curve, and X^2 test statistic, in relation to analysis of a confusion matrix. We then show how these two methods are related, propose an extension ROC curve so that it shows contours values. These can be used provide further insight into appropriate setting decision threshold for particular application.

参考文章(11)
Ulrich Knoll, Gholamreza Nakhaeizadeh, Birgit Tausend, Cost-sensitive pruning of decision trees european conference on machine learning. pp. 383- 386 ,(1994) , 10.1007/3-540-57868-4_79
Josef Kittler, Pierre A. Devijver, Pattern recognition : a statistical approach Prentice/Hall International. ,(1982)
Casimir A. Kulikowski, Sholom M. Weiss, Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems Published in <b>1991</b> in San Mateo Calif) by Kaufmann. ,(1991)
Keinosuke Fukunaga, Introduction to statistical pattern recognition (2nd ed.) Academic Press Professional, Inc.. ,(1990)
Seymour V. Pollack, Theodor D. Sterling, Introduction to Statistical Data Processing ,(1968)
J.M. Twomey, A.E. Smith, Power curves for pattern classification networks IEEE International Conference on Neural Networks. pp. 950- 955 ,(1993) , 10.1109/ICNN.1993.298685
Brian S. Everitt, The analysis of contingency tables ,(1977)
Bartels Ph, Wied Gl, Sherwood Em, Feature selection in cell image analysis: use of the ROC curve. Acta Cytologica. ,vol. 20, pp. 255- ,(1976)
William H Press, William H Press, Brian P Flannery, Brian P Flannery, Saul A Teukolsky, William T Vetterling, William T Vetterling, Numerical recipes in Pascal : the art of scientific computing Published in <b>1989</b> in Cambridge by Cambridge university press. ,(1989)