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Table 2 Binary classification test

From: Animal models and conserved processes

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