Hi,

I have successfully used rpart but with a few thousands rows, and a few
hundred input attributes. When using data with ~2 million rows (instances),
and ~20,000 input attributes (typical data sizes in my application), I get
memory problems when using rpart.

Does anyone know of a Decision tree algorithm that works in R with big
data?

Thanks!

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