2012/3/13 Frédéric Bastien :
> I would also add that probably ensemble are slower to train then
> prunned tree. In academic, this is not a too big problem, but in
> industries it can be important in some case.
And slower to make predictions too, I guess.
Mathieu
-
I would also add that probably ensemble are slower to train then
prunned tree. In academic, this is not a too big problem, but in
industries it can be important in some case.
Fred
On Tue, Mar 13, 2012 at 7:34 AM, Paolo Losi wrote:
> On Tue, Mar 13, 2012 at 12:09 PM, Andreas wrote:
>> On 03/13/2
On Tue, Mar 13, 2012 at 12:09 PM, Andreas wrote:
> On 03/13/2012 12:11 PM, Paolo Losi wrote:
>> Since ensemble methods consistently outperform "traditional" tree building
>> (where variance is controlled by pruning), what are the advantages of
>> implementing
>> pruning in sklearn?
>>
>>
> I think
2012/3/13 Andreas
> On 03/13/2012 12:11 PM, Paolo Losi wrote:
> > Since ensemble methods consistently outperform "traditional" tree
> building
> > (where variance is controlled by pruning), what are the advantages of
> > implementing
> > pruning in sklearn?
> >
> >
> I think the idea would be to
On 03/13/2012 12:11 PM, Paolo Losi wrote:
> Since ensemble methods consistently outperform "traditional" tree building
> (where variance is controlled by pruning), what are the advantages of
> implementing
> pruning in sklearn?
>
>
I think the idea would be to have an easy to interpret model.
T
Since ensemble methods consistently outperform "traditional" tree building
(where variance is controlled by pruning), what are the advantages of
implementing
pruning in sklearn?
Paolo
N.B. The question is not directed specifically to Brain
but to GoS applicants and sklearn contributors.
On Tue,
Hi Andy,
Thanks for the information. I read the thread by Vikram, and would
gladly share my work with him. My particular interest is in model
selection for decision trees and at this stage I would like to test how
different prunings can improve generalisation.
Best,
Charanpal
Le 13/03/2012 11:18
@lists.sourceforge.net
Subject: [Scikit-learn-general] Decision tree pruning
I noticed that decision trees are currently unpruned, and wondered if
anyone was working on this (or has been)? If not, I might implement
pruning myself.
Charanpal
Hi Charanpal.
In the recent GSoC-Thread, Vikram Kamath has proposed this and other
improvements
as a GSoC project. This idea is still in a pretty early stage, though.
In general, this is definitely a useful feature.
Cheers,
Andy
--
I noticed that decision trees are currently unpruned, and wondered if
anyone was working on this (or has been)? If not, I might implement
pruning myself.
Charanpal
--
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