Very cool, I get really different variables as the selected variabels than the IG and scorecard node would choose. Then using the interactive grouping and scorecard node, I get a model with less variables, and still one positive effect, three negative effects. So, still opposite effects, weaker variable coefficients, and the model comparison node will rather choose my previous model. I am guessing that I have to accept that the data has too much collinearity and that it I really should try to find new data or more independent variables?
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