An ROC (receiver operating characteristic) curve is a plot commonly used in machine learning and data mining for exhibiting the performance of a classifier under different criteria. The y-axis is the true positive and the x-axis is the false positive (i.e., false alarm). A point on ROC curve shows that the trade-off between the achieved true positive detection rate and the accepted false positive rate.
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(2009). ROC Curve. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_828
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DOI: https://doi.org/10.1007/978-0-387-73003-5_828
Publisher Name: Springer, Boston, MA
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