How to know if the decision tree is overfitting or underfitting?

Answers

• rjones13 Member Posts: 204 Unicorn

  November 2023

  Hi @heretolearn,
  
  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: https://academy.rapidminer.com/learn/dashboard?query=validation
  
  Hope this helps. Happy to point you towards something particular if needed.
  
  Best,
  Roland
  
  
  

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