ROC curves and Area Under the Curve explained

source: dataschool.io

Key Points	Receiver Operating Characteristic (ROC), or ROC curve, is a graphical plot that illustrates the performance of a binary classifier system as its discrimination threshold is varied. [wikipedia] Area Under the Curve. AUC is literally just the percentage of this box that is under this curve.[video transcript; explains it very calm and easy to follow using a demo app]
Further Links	http://www.navan.name/roc/
Webinar Category	Data Science
Title	ROC curves and Area Under the Curve explained
Presenter_Name		Markham, Kevin
Provider		Data School
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Runtime		0:14:00