Krahasoni metodat

	AUC Precision-Recall	Kujtesë (ndjeshmëri)
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	2006	20th century
Krijuesi	Davis and Goadrich	Historical statistical foundations
Lloji	Evaluation metric	Evaluation metric
Burimi themelues	Davis, J., & Goadrich, M. (2006). The relationship between precision-recall and ROC curves. Proceedings of the 23rd International Conference on Machine Learning, 233-240.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
Emërtime të tjera	PR AUC, PR Curve	Sensitivity, True Positive Rate, TPR
Të lidhura	4	5
Përmbledhja	The Precision-Recall Area Under the Curve (PR AUC) is the area under the curve formed by plotting recall on the x-axis and precision on the y-axis. It is particularly useful for evaluating classifiers on imbalanced datasets, where it is often more informative than ROC AUC.	Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.