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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%.
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BMC Bioinformatics

ISSN: 1471-2105

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