Template:DiagnosticTesting Diagram

		True condition
	Total population	Condition positive	Condition negative	Prevalence = ⁠Σ Condition positive/Σ Total population⁠		Accuracy (ACC) = ⁠Σ True positive + Σ True negative/Σ Total population⁠
Predicted condition	Predicted condition positive	True positive	False positive, Type I error	Positive predictive value (PPV), Precision = ⁠Σ True positive/Σ Predicted condition positive⁠		False discovery rate (FDR) = ⁠Σ False positive/Σ Predicted condition positive⁠
	Predicted condition negative	False negative, Type II error	True negative	False omission rate (FOR) = ⁠Σ False negative/Σ Predicted condition negative⁠		Negative predictive value (NPV) = ⁠Σ True negative/Σ Predicted condition negative⁠
		True positive rate (TPR), Recall, Sensitivity (SEN), probability of detection, Power = ⁠Σ True positive/Σ Condition positive⁠	False positive rate (FPR), Fall-out, probability of false alarm = ⁠Σ False positive/Σ Condition negative⁠	Positive likelihood ratio (LR+) = ⁠TPR/FPR⁠	Diagnostic odds ratio (DOR) = ⁠LR+/LR−⁠	Matthews correlation coefficient (MCC) = √TPR·TNR·PPV·NPV − √FNR·FPR·FOR·FDR	F1 score = ⁠2 · PPV · TPR/PPV + TPR⁠ = ⁠2 · Precision · Recall/Precision + Recall⁠
		False negative rate (FNR), Miss rate = ⁠Σ False negative/Σ Condition positive⁠	Specificity (SPC), Selectivity, True negative rate (TNR) = ⁠Σ True negative/Σ Condition negative⁠	Negative likelihood ratio (LR−) = ⁠FNR/TNR⁠