Порівняння методів

	Чутливість (Recall)	Специфічність
Галузь	Оцінювання моделей	Оцінювання моделей
Родина	MCDM	MCDM
Рік появи	20th century	20th century
Автор методу	Historical statistical foundations	Historical statistical foundations
Тип	Evaluation metric	Evaluation metric
Основоположне джерело	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.
Інші назви	Sensitivity, True Positive Rate, TPR	True Negative Rate, TNR
Пов'язані	5	5
Підсумок	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.