Bandingkan metode

	Spesifisitas	Recall (Sensitivitas)
Bidang	Evaluasi Model	Evaluasi Model
Keluarga	MCDM	MCDM
Tahun asal	20th century	20th century
Pencetus	Historical statistical foundations	Historical statistical foundations
Tipe	Evaluation metric	Evaluation metric
Sumber perintis	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.
Alias	True Negative Rate, TNR	Sensitivity, True Positive Rate, TPR
Terkait	5	5
Ringkasan	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.	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.