@Kush wrote:
As we all know that decision trees works well with continuous variables too. It uses reduction of variation as its split criteria. I just want to know how can I convert my continuous variables into categorical without building or training a dataset. In other terms, how can I bin my continuous column into categorical using decision trees. It comes handy in some databases, but not getting any good idea about it. Also I am trying to do it in Spark, so please give me an idea
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