Hi , I don't understand how to use Decisions node for adjusting probabilities. I have 0.7% response rate with 6,000 responses. I used Sample node and created a sample with 50/50 response rate. When I run the sample with Neural Network and Random Forest, I see the results with ROC but my score data was not adjusted to 0.7%. Then I redid everhthing with Decision node; Data-->Sample-->Decisions-->Data Portition (as described above with Decision Weights. In Prior Probabilities, Prior is not 50% it is already 0.7% . I still changed the adjusted prior to 0.7%. Count is 6000/6000). Now, all my results changed. All I see is the baseline with all the models overlapped in my ROC (Zero True Positive and Zero False Positive). I have the score data with adjusted probabilities but I am not sure if I am doing the right thing. I just don't understant how EM is using this process with the sample data. I appreciate any of your comments. Thanks.
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