Hello, everyone Recently I started using SAS EM and applied Decision Tree/Gradient Boosting model to my data. The data's response rate is 1%. Anyhow, for some reason, the Decision Tree run was suspended for Run time error and Gradient Boosting run results shows no lift, just ramdom distribution of data. After I oversampled the data and make the new sample's response rate to be 10% or more, the decision tree and gradient boosting run were successful. My question is, is there any parameter in Decision Tree and Gradient Boosting, after I change it, they can run successfully when the sample data's response rate is small, say 1% or below? Thanks, Jimmy
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