手法を比較

	精度（Precision）	特異度（Specificity）
分野	モデル評価	モデル評価
系統	MCDM	MCDM
提唱年	20th century	20th century
提唱者	Historical statistical foundations	Historical statistical foundations
種類	Evaluation metric	Evaluation metric
原典	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.
別名	Positive Predictive Value, PPV	True Negative Rate, TNR
関連	5	5
概要	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.