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Easy task, helping me understand decision tree classifiers in rapid miner go (Ends 13.00 10/07/20)

Hi I am a psychologist currently at my first excursion into data analytics. I currently have a project due and would like to have a chat about decision tree classifiers and the rapid miner Go UI. Just basic stuff like identify rules and overfit.

Let me know if you want to help and I will send a zoom or teams.

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Telcontar120

Did you try reviewing the RapidMiner Academy lesson regarding the decision tree? It's quite helpful for understanding the basics of that algorithm.

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