Good day to everyone. I'am using SAS RPM for modeling and got next problem: I've builded model on some pull of predictors with Gini, say 0.5 Then I took same data, same predictors and added new set of parameters, but unfortunately model became worse(lower gini). In my understanding, if new predictor is "weak" and it can't improve model performance, it at least won't spoil it. Does someone have any ideas?
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