Animal models and conserved processes

Table 2 Binary classification test

		Gold standard
		GS+	GS-
Test	T+	TP	FP
	T-	FN	TN
Sensitivity = TP/(TP + FN)
Specificity = TN/(FP + TN)
Positive Predictive Value = TP/(TP + FP)
Negative Predictive Value = TN/(FN + TN)
T- = Test negative
T + = Test positive
FP = False positive
TP = True positive
FN = False negative
TN = True negative
GS- = Gold standard negative
GS + = Gold standard positive

The binary classification test allows calculations for determining how well a test or practice compares with reality or the gold standard.

ISSN: 1742-4682