Output measures & Confusion Matrix

  Predicted 0 Predicted 1
Actual 0 True Negative False Positive
Actual 1 False Negative True Positive

 

Accuracy Error Rate
( True Negative + True Positive ) /
Number of observations
( False Negative + False Positive ) /
Number of Observations
Sensitivity Specificity
True Positive /
( True Positive + False Negative )
True Negative /
( True Negative + False Positive )
False Negative Error Rate False Positive Error Rate
False Negative /
( True Positive + False Negative )
False Positive /
( True Negative + False Positive )

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