An introduction to ROC analysis

by: Tom Fawcett

Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 861-874.

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Abstract

Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been used increasingly in machine learning and data mining research. Although ROC graphs are apparently simple, there are some common misconceptions and pitfalls when using them in practice. The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.

@article{citeulike:820297, abstract = {Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been used increasingly in machine learning and data mining research. Although ROC graphs are apparently simple, there are some common misconceptions and pitfalls when using them in practice. The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.}, author = {Fawcett, Tom }, booktitle = {ROC Analysis in Pattern Recognition}, citeulike-article-id = {820297}, doi = {10.1016/j.patrec.2005.10.010}, journal = {Pattern Recognition Letters}, keywords = {information, kdd, math, stochastic}, month = {June}, number = {8}, pages = {861--874}, posted-at = {2008-05-09 13:02:30}, priority = {2}, title = {An introduction to ROC analysis}, url = {http://portal.acm.org/citation.cfm?id=1159475}, volume = {27}, year = {2006} }

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TY - JOUR ID - citeulike:820297 TI - An introduction to ROC analysis T2 - ROC Analysis in Pattern Recognition JF - Pattern Recognition Letters VL - 27 IS - 8 SP - 861 EP - 874 N2 - Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been used increasingly in machine learning and data mining research. Although ROC graphs are apparently simple, there are some common misconceptions and pitfalls when using them in practice. The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research. KW - information KW - kdd KW - math KW - stochastic AU - Fawcett, Tom PY - 2006/06// UR - http://portal.acm.org/citation.cfm?id=1159475 ER -

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