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The area under curve (AUC) statistic is an empiricalmeasure of classification performance based on the area under an ROCcurve. It evaluates the performance of a scoring classifier on atest set, but ignores the magnitude of the scores and only takestheir rank order into account. AUC is expressed on a scale of 0 to1, where 0 means that all negatives are ranked before all positives,and 1 means that all positives are ranked before all negatives. See ROC Analysis.
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© 2011 Springer Science+Business Media, LLC
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(2011). Area Under Curve. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_28
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DOI: https://doi.org/10.1007/978-0-387-30164-8_28
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
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