So sánh phương pháp

	Độ chính xác	Ma trận nhầm lẫn
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	20th century	20th century
Người khởi xướng	Historical statistical foundations	Statistical foundations
Loại	Evaluation metric	Evaluation visualization
Công trình gốc	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.
Tên gọi khác	Overall Accuracy, Correct Classification Rate	Error Matrix, Contingency Table
Liên quan	5	5
Tóm tắt	Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.	The confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.