Methoden vergelijken

	Precisie	Nauwkeurigheid
Vakgebied	Modelevaluatie	Modelevaluatie
Familie	MCDM	MCDM
Jaar van ontstaan	20th century	20th century
Grondlegger	Historical statistical foundations	Historical statistical foundations
Type	Evaluation metric	Evaluation metric
Oorspronkelijke bron	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.
Aliassen	Positive Predictive Value, PPV	Overall Accuracy, Correct Classification Rate
Verwant	5	5
Samenvatting	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.	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.