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. Cheers, Andy ------------------------------------------------------------------------------ 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
