قارن الطرق

	مصفوفة الارتباك	الدقة
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	20th century	20th century
صاحب الطريقة	Statistical foundations	Historical statistical foundations
النوع	Evaluation visualization	Evaluation metric
المصدر التأسيسي	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.
الأسماء البديلة	Error Matrix, Contingency Table	Positive Predictive Value, PPV
ذات صلة	5	5
الملخص	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.	Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.