🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
Model Training Error (H2O)-Gradient Boosted Training
May I know why when i use the same process to run "random forest" and "decision tree", model the program is able to run.
However, when i use "Gradient Boosted Training" it appears this as shown in Figure below
I have recheck the input parameter max_depth, learn_rate, everything are in order
How can I resolve this? My apologies, im newbie in Machine learning & Rapidminer