Vertaile menetelmiä

	Tarkkuus	Spesifisyys
Tieteenala	Mallien arviointi	Mallien arviointi
Menetelmäperhe	MCDM	MCDM
Syntyvuosi	20th century	20th century
Kehittäjä	Historical statistical foundations	Historical statistical foundations
Tyyppi	Evaluation metric	Evaluation metric
Alkuperäislähde	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.
Rinnakkaisnimet	Positive Predictive Value, PPV	True Negative Rate, TNR
Liittyvät	5	5
Tiivistelmä	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.	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.