مقایسهٔ روش‌ها

	دقت	ماتریس سردرگمی
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	20th century	20th century
پدیدآور	Historical statistical foundations	Statistical foundations
نوع	Evaluation metric	Evaluation visualization
منبع بنیادین	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.
نام‌های دیگر	Overall Accuracy, Correct Classification Rate	Error Matrix, Contingency Table
مرتبط	5	5
خلاصه	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.