مقایسهٔ روش‌ها

	ماتریس سردرگمی	دقت
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	20th century	20th century
پدیدآور	Statistical foundations	Historical statistical foundations
نوع	Evaluation visualization	Evaluation metric
منبع بنیادین	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
نام‌های دیگر	Error Matrix, Contingency Table	Overall Accuracy, Correct Classification Rate
مرتبط	5	5
خلاصه	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.	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.