Maybe we should add a note that this is equivalent to variance reduction? Still have not found the time for your thesis :-/
On 07/09/2015 03:30 PM, Sebastian Raschka wrote: > Thanks, I think my confusion came from the fact that they use x_i as target > variable, and I was thinking of feature/attribute when I saw the equation; > makes sense now! > > Btw. That's a beautiful thesis and a useful reference, too! > > Best, > Sebastian > >> On Jul 9, 2015, at 2:23 PM, Gilles Louppe <g.lou...@gmail.com> wrote: >> >> Hi Sebastian, >> >> Both terminology are in fact strictly equivalent for regression. See >> e.g. page 46 of http://arxiv.org/abs/1407.7502 >> >> Best, >> Gilles >> >> On 9 July 2015 at 18:56, Sebastian Raschka <se.rasc...@gmail.com> wrote: >>> Hi, all, >>> >>> sorry, but I have another question regarding the terminology in the >>> documentation. >>> >>> In the DecisionTreeRegressor's documentation at >>> http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html#sklearn.tree.DecisionTreeRegressor >>> is says >>> >>> criterion : string, optional (default=”mse”) >>> The function to measure the quality of a split. The only supported >>> criterion is “mse” for the mean squared error. >>> >>> However, I am wondering if the impurity measure is truly the MSE or if it >>> is the variance of the nodes (since the wikipedia link on that page refers >>> to the "variance reduction" algorithm)? Here, I think of MSE as the average >>> of squared deviations of the predictions from the true values, whereas >>> variance would be the average of squared deviation of the observations from >>> the sample mean of a node. >>> >>> Best, >>> Sebastian >>> ------------------------------------------------------------------------------ >>> Don't Limit Your Business. Reach for the Cloud. >>> GigeNET's Cloud Solutions provide you with the tools and support that >>> you need to offload your IT needs and focus on growing your business. >>> Configured For All Businesses. Start Your Cloud Today. >>> https://www.gigenetcloud.com/ >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> Scikit-learn-general@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> ------------------------------------------------------------------------------ >> Don't Limit Your Business. Reach for the Cloud. >> GigeNET's Cloud Solutions provide you with the tools and support that >> you need to offload your IT needs and focus on growing your business. >> Configured For All Businesses. Start Your Cloud Today. >> https://www.gigenetcloud.com/ >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ > Don't Limit Your Business. Reach for the Cloud. > GigeNET's Cloud Solutions provide you with the tools and support that > you need to offload your IT needs and focus on growing your business. > Configured For All Businesses. Start Your Cloud Today. > https://www.gigenetcloud.com/ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
