Dear all,

I am trying to train a randomForest using all my control data (12,000 cases, ~
20 explanatory variables, 2 classes). Because of memory constraints, I have
split my data into 7 subsets and trained a randomForest for each, hoping that
using combine() afterwards would solve the memory issue. Unfortunately,
combine() still runs out of memory. Is there anything else I can do? (I am not
using the formula version)

Many Thanks
Eleni Rapsomaniki

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