I think I found a minor bug in the XGBoost Tree Ensemble Learner Node. My ID column has thousands of distinct values and should not be used as a predictor in that node, hence I excluded it in the column selection. The learner works perfectly, but when I re-configure that learner after that, it shows that my ID column is among the selected predictors. And when I deselect that column and hit “OK”, KNIME tells me that nothing has changed and the node will therefore not be reset.
I agree that sounds like a bug. Unfortunately, I can’t reproduce it in my installation, so I will need a bit of help in figuring it out.
Are there any errors displayed in the KNIME log or the console?
Hello @nemad, I had a look at the log and console but I didn’t gain any insights. Maybe you can try this workflow to reproduce the bug. (I use Windows 10.) BUG Xgboost tree ensemble.knwf (12.3 KB)
