Optimization Grid with Random Forest - Not Working.
RapidMiner Unicorns 🦄,
I trying to run a optimization grid with our my Random Forest model and I am getting an error. It's stating that gain_ratio criterion cannot be used for numeric labels (see pictures below). I checked all my parameters and I am not using gain_ratio in the optimization grid (see pictures below). So, specifically how you used a optimization grid with cross validation, and random forest predicting a real number in RapidMiner?
Can you send an basic working example of this workflow process with with good documented comments explaining each step.


I trying to run a optimization grid with our my Random Forest model and I am getting an error. It's stating that gain_ratio criterion cannot be used for numeric labels (see pictures below). I checked all my parameters and I am not using gain_ratio in the optimization grid (see pictures below). So, specifically how you used a optimization grid with cross validation, and random forest predicting a real number in RapidMiner?
Can you send an basic working example of this workflow process with with good documented comments explaining each step.


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Hi,
can you show us your optimization settings? Likely you use least_square there.
Also: Be careful using Explain Pred in the X-Val. This can take enormous amount of time.
BR,
Martin