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Table 2 Confusion matrix for comparison of actual and predicted labels on 2287 CGEMS breast cancer dataset

From: Breast cancer prediction using genome wide single nucleotide polymorphism data

  Predicted Label
  Case Control
Actual Label Case 683
(TP)
462
(FP)
  Control 447
(FN)
695
(FN)
  1. Accuracy = (TP+TN)/(TP+FP+TN+FN)=60.25%; Precision = TP/(TP+FP)= 60.44%;
  2. Recall/Sensitivity = TP/(TP+FN)=59.65%; Specificity = TN/(TN+FP)=60.86%.