So sánh phương pháp

	Điểm F1	Tổn thất Hamming
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	Information theory and multi-label learning
Loại	Evaluation metric	Loss function
Công trình gốc	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.	Schapire, R. E., & Singer, Y. (2000). BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2-3), 135-168.
Tên gọi khác	F-measure, Harmonic Mean	Hamming Distance, Subset Accuracy Loss
Liên quan	5	1
Tóm tắt	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.	Hamming loss measures the fraction of labels that are incorrectly predicted in multi-label classification. It counts the number of label mistakes divided by the total number of labels, providing a simple metric for multi-label problems.