On Tue, Mar 13, 2012 at 12:09 PM, Andreas <[email protected]> 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 the idea would be to have an easy to interpret model. > There might be applications where this is beneficial. > > Also, I think having well-known models in sklearn is a good > idea, even if they are not top-performing.
That's fair enough. Thanks Paolo ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
