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From Suneel Marthi <suneel.mar...@gmail.com>
Subject Re: Random Forest Implementation training is too slow for 2 GB of data
Date Fri, 11 Jul 2014 10:58:56 GMT
R u working off if trunk? Mahout version??

Sent from my iPhone

> On Jul 11, 2014, at 6:53 AM, Stuti Awasthi <stutiawasthi@hcl.com> wrote:
> 
> 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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