Hello All,
I'm starting with SAS EM. I'm trying to build a classification model to predict the best candidates for a product campaign. I built 3 types of models, NN, Regression and Decision Trees - the selected model was a NN one. However when I run the score node, only the Decision Tree models are able to predict. Other models give always the target var 100% -> 0.
Any help would be highly appreciated!
Jorge
Because your response rate very rare (< 0.05%), try a balanced sample (50% response 50% non-response) and check whether you still have problem with NN node scoring. You can always use the decision node to correct it for prior probability.
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