Hello,
I am a beginner at knime and need a little bit of help. We are doing our first knime project and we want to predict something for our Project. Now the Question is how should we treat outliers. I mean for a prediction your model needs any information it can get. So we are not sure if we really should remove or subsitute all outliers, we identified with a box plot. We decided to bin a few variables with the numeric binner node, so we wouldnt have the problem for the outliers. But should we do this for all variables ? And how should we do this for the neural networks? Because this method doesnt accept any string variabes.
Thank you in advance!