Discriminatory Power Analysis by Receiver-Operating Characteristic Curves (Part 1 of 2: Theory)

César de Souza

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18 Feb 2010CPOL7 min read

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The ROC curve was developed by electrical and radar system engineers during World War II to detect enemy objects in enemy fields. The ROC analysis has been used in medicine, radiology, psychology and other areas for many decades. More recently, it has been introduced to machine learning.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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César de Souza

Engineer NAVER LABS Europe

France

Computer and technology enthusiast, interested in artificial intelligence and image processing. Has a Master's degree on Computer Science specialized on Image and Signal Processing, with expertise on Machine Learning, Computer Vision, Pattern Recognition and Data Mining systems. Author of the Accord.NET Framework for developing scientific computing applications.

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Discriminatory Power Analysis by Receiver-Operating Characteristic Curves (Part 1 of 2: Theory)

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