Krahasoni metodat

	Saktësi	Kujtesë (ndjeshmëri)
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	20th century	20th century
Krijuesi	Historical statistical foundations	Historical statistical foundations
Lloji	Evaluation metric	Evaluation metric
Burimi themelues	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.
Emërtime të tjera	Overall Accuracy, Correct Classification Rate	Sensitivity, True Positive Rate, TPR
Të lidhura	5	5
Përmbledhja	Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.	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.