So sánh phương pháp

	Điểm F-beta	F1-score trung bình vĩ mô
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	1979	2000s
Người khởi xướng	C. J. van Rijsbergen	Multi-class evaluation community
Loại	Evaluation metric	Evaluation metric
Công trình gốc	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63.
Tên gọi khác	F-measure with parameter beta	Macro F1, Unweighted average F1
Liên quan	5	3
Tóm tắt	The F-beta score is a weighted harmonic mean of precision and recall that allows customizing the relative importance of recall versus precision through a parameter beta. It generalizes the F1-score, which is the special case where beta = 1.	Macro-averaged F1 computes the F1-score independently for each class and then takes the unweighted arithmetic mean. It treats all classes equally, regardless of their frequency in the dataset, making it useful for imbalanced multi-class problems.