ROC (receiver operating characteristic) Curve: Revision history

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18 March 2023

  • curprev 13:1313:13, 18 March 2023‎ Walle talk contribs‎ 3,770 bytes +3,770‎ Created page with "{{see also|Machine learning terms}} ==Introduction== The '''Receiver Operating Characteristic''' ('''ROC''') curve is a graphical representation that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. It is widely used in machine learning, statistics, and data analysis for evaluating the performance of classification algorithms, particularly in the presence of imbalanced class distribution. ==Background== ===Origi..."
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