Prediction Value (binary classification)

In Easy Predictive Analytics, the value you want to predict is called Prediction Value in binary classification.

For example, if you wanted to predict which would be “(a) Withdrawal” or “(b) Continuation” and you set “(a) Withdrawal” as the prediction value, the resulting confusion matrix would be:

  Actual Value  
Predicted Value
(a) Withdrawal (b) Continuation
(a) Withdrawal 4 5
(b) Continuation 6 7
 

Conversely, if you set “(b) Continuation” as a prediction value, the resulting confusion matrix is:

  Actual Value  
Predicted Value
(b) Continuation (a) Withdrawal
(b) Continuation 7 6
(a) Withdrawal 5 4
 

Since the confusion matrix changes depending on which prediction value is used, it is calculated from the confusion matrix.

also changes the result.