2012/3/13 Andreas <[email protected]>
> 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.
> There might be applications where this is beneficial.
>
I agree, interpretability is the first thing that comes to my mind.
best,
Peter
>
> Also, I think having well-known models in sklearn is a good
> idea, even if they are not top-performing.
>
I totally agree.
>
> Cheers,
> Andy
>
>
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--
Peter Prettenhofer
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