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Xipe Totec

(44,109 posts)
1. ROC - Receiver Operating Characteristic
Wed Dec 7, 2016, 08:38 PM
Dec 2016

This is now a classic case study in information theory.


"ROC analysis provides tools to select possibly optimal models and to discard suboptimal ones independently from (and prior to specifying) the cost context or the class distribution. ROC analysis is related in a direct and natural way to cost/benefit analysis of diagnostic decision making.

The ROC curve was first developed by electrical engineers and radar engineers during World War II for detecting enemy objects in battlefields and was soon introduced to psychology to account for perceptual detection of stimuli. ROC analysis since then has been used in medicine, radiology, biometrics, and other areas for many decades and is increasingly used in machine learning and data mining research."

https://en.wikipedia.org/wiki/Receiver_operating_characteristic

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