مقایسهٔ روش‌ها

	مساحت زیر منحنی دقت-فراخوانی	امتیاز F1
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	2006	1979
پدیدآور	Davis and Goadrich	C. J. van Rijsbergen
نوع	Evaluation metric	Evaluation metric
منبع بنیادین	Davis, J., & Goadrich, M. (2006). The relationship between precision-recall and ROC curves. Proceedings of the 23rd International Conference on Machine Learning, 233-240.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
نام‌های دیگر	PR AUC, PR Curve	F-measure, Harmonic Mean
مرتبط	4	5
خلاصه	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.	The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.