I have a simple example for demonstrating the effect of varying threshold on error, accuracy, sensitivity, etc. It works fine when I select classification error and the accuracy as metrics. However, the moment I add any of the metrics like precision, recall, AUC, I get the error in the Performance (Binominal Classification) operator:
"Incompatible Label and Prediction" with the following details: The prediction attribute's values do not match the label attribute's.
If the prediction attribute's values do not match the label attribute's, performance cannot be calculated.
While I understand what the error is trying to inform, there is no indication that the prediction attribute's values do not match those of the label's. I have checked this with breakpoints, etc. I have attached the data CSV file, working process RMP file and the erroneous process RMP file.
@sgenzer or anyone else can help?