Võrdle meetodeid

	Täpsus	Tundlikkus (Recall)
Valdkond	Mudelite hindamine	Mudelite hindamine
Perekond	MCDM	MCDM
Tekkeaasta	20th century	20th century
Looja	Historical statistical foundations	Historical statistical foundations
Tüüp	Evaluation metric	Evaluation metric
Algallikas	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.
Rööpnimetused	Positive Predictive Value, PPV	Sensitivity, True Positive Rate, TPR
Seotud	5	5
Kokkuvõte	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.	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.