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An introduction to ROC analysis

โœ Scribed by Tom Fawcett

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
766 KB
Volume
27
Category
Article
ISSN
0167-8655

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โœฆ Synopsis

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.

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