Σύγκριση μεθόδων

	Ειδικότητα	Ακρίβεια (Precision)
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	20th century	20th century
Δημιουργός	Historical statistical foundations	Historical statistical foundations
Τύπος	Evaluation metric	Evaluation metric
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	True Negative Rate, TNR	Positive Predictive Value, PPV
Συναφείς	5	5
Σύνοψη	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.	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.