Precision-recall curve: Revision history

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21 March 2023

  • curprev 01:1001:10, 21 March 2023‎ Walle talk contribs‎ 3,340 bytes +3,340‎ Created page with "{{see also|Machine learning terms}} ==Precision-Recall Curve in Machine Learning== In machine learning, the precision-recall curve is a graphical representation that illustrates the performance of a binary classification model. The curve is used to assess the trade-off between two important evaluation metrics: precision and recall. ===Definition of Precision and Recall=== * '''Precision''' refers to the proportion of true positive predictions out of all positive..."
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