PR AUC (area under the PR curve): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

21 March 2023

  • curprev 01:0701:07, 21 March 2023‎ Walle talk contribs‎ 2,844 bytes +2,844‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, the evaluation of classification models is a critical task. One common metric used to measure the performance of such models is the PR AUC, or Area Under the Precision-Recall (PR) Curve. The PR AUC is particularly useful when dealing with imbalanced datasets, where the proportion of positive and negative samples is unequal. ==Precision-Recall Curve== ===Definition=== The Precision-..."
Retrieved from "http:///wiki/PR_AUC_(area_under_the_PR_curve)"