השוואת שיטות

	מטריצת בלבול	דיוק (Precision)
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	20th century	20th century
הוגה השיטה	Statistical foundations	Historical statistical foundations
סוג	Evaluation visualization	Evaluation metric
מקור מכונן	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.
כינויים	Error Matrix, Contingency Table	Positive Predictive Value, PPV
קשורות	5	5
תקציר	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.