I have a large dataset with 200 features and ~10m samples. I am having trouble because I keep getting decision trees which split on the same feature over and over (please see picture).
What can I do to prevent XGBoost from doing this? Or does this somehow make sense? Regardless of the data, the splits don’t make sense… because how can you have a feature that interacts with itself?