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How to know if the decision tree is overfitting or underfitting?
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in Help
How to know if the decision tree is overfitting or underfitting? Is the accuracy relating to that?
0
Answers
In general, we use some form of validation to understand if the trained model performs similarly on some sort of testing or hold-out set. We do this to check performance is similar on a representative dataset that the model hasn't seen whilst training.
We have some nice resources on RapidMiner Academy on model validation:Â https://academy.rapidminer.com/learn/dashboard?query=validation
Hope this helps. Happy to point you towards something particular if needed.
Best,
Roland