Tim,
Yes, RF's are ensemble learners, but that doesn't mean that you couldn't
wrap them up with other classifiers to have a higher level ensemble.
On Sat, Oct 19, 2013 at 6:48 AM, Tim Peut t...@timpeut.com wrote:
Thanks for the info and suggestions everyone.
On 19 October 2013 01:00, Ted
On Fri, Oct 18, 2013 at 7:48 AM, Tim Peut t...@timpeut.com wrote:
Has anyone found that Mahout's random forest doesn't perform as well as
other implementations? If not, is there any reason why it wouldn't perform
as well?
This is disappointing, but not entirely surprising. There has been
On Fri, Oct 18, 2013 at 3:50 PM, j.barrett Strausser
j.barrett.straus...@gmail.com wrote:
How difficult would it be to wrap the RF classifier into an ensemble
learner?
It is callable. Should be relatively easy.
}, the package
will consider in { A, C } versus not in { A, C } as a partition candidate.
-Original Message-
From: Ted Dunning [mailto:ted.dunn...@gmail.com]
Sent: Friday, October 18, 2013 10:42 AM
To: user@mahout.apache.org
Subject: Re: Mahout 0.8 Random Forest Accuracy
On Fri, Oct 18, 2013
: Re: Mahout 0.8 Random Forest Accuracy
On Fri, Oct 18, 2013 at 7:48 AM, Tim Peut t...@timpeut.com wrote:
Has anyone found that Mahout's random forest doesn't perform as well as
other implementations? If not, is there any reason why it wouldn't perform
as well?
This is disappointing
Thanks for the info and suggestions everyone.
On 19 October 2013 01:00, Ted Dunning ted.dunn...@gmail.com wrote:
On Fri, Oct 18, 2013 at 3:50 PM, j.barrett Strausser
j.barrett.straus...@gmail.com wrote:
How difficult would it be to wrap the RF classifier into an ensemble
