I’m working on creating an interactive decision tree in SAS Enterprise Miner using a raw dataset (no train/validation split). However, I'm only seeing the top 4-5 variables for the first node split. Is there a way to increase this to consider at least 10 variables? Any suggestions would be greatly appreciated!
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