השוואת שיטות

	עֶרְכָּה (רגישות)	סגוליות (Specificity)
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	20th century	20th century
הוגה השיטה	Historical statistical foundations	Historical statistical foundations
סוג	Evaluation metric	Evaluation metric
מקור מכונן	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
כינויים	Sensitivity, True Positive Rate, TPR	True Negative Rate, TNR
קשורות	5	5
תקציר	Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.	Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.