Precision: Revision history

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21 March 2023

  • curprev 01:1101:11, 21 March 2023‎ Walle talk contribs‎ 2,462 bytes +2,462‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the context of machine learning, ''precision'' is a fundamental metric used to evaluate the performance of classification models. Precision measures the accuracy of positive predictions made by a model, specifically the proportion of true positive instances among all instances classified as positive. This metric is particularly important in cases where the cost of false positives is high, such as in medical diag..."
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