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From Stuti Awasthi <stutiawas...@hcl.com>
Subject Random Forest Implementation training is too slow for 2 GB of data
Date Fri, 11 Jul 2014 10:53:16 GMT
Hi all,

I have some 2 GB of data and tried to  execute RF with no of trees = 10 and maxsplitsize as
90 MB. The execution takes too much time.
I have also tried with #of trees =2, then it takes less time but gives accuracy <50%
If I use less data with greater no of trees , then output accuracy is >90%

Is there any tuning to execute it quickly with optimal no of trees for accuracy > 80%.


Please suggest

Thanks
Stuti Awasthi


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