R help - Feb 2004 - CART: rapart vs bagging

Hi, 

Is here anyone knows the difference between rapart and bagging when grow a
CART tree? 

Thanks

Qin

On Sun, 1 Feb 2004, Qin Liu wrote:
> Is here anyone knows the difference between rapart and bagging when grow a
> CART tree? 
Short answer: `Yes'.

Slightly longer answer: `rapart classification tree' is not something
Google knows about, and bagging is not to do with `grow a tree'.

More informative answer:

Bagging is a method to combine ensembles of classification trees, and
*rpart* is a package in R which does grow and prune classification trees.

CART is the trademark of a commercial program to grow and prune
classification trees.

Put `bagging Breiman' into Google to help you with the concept of bagging,
and then look at package ipred.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

> From:  Qin Liu
> 
> Hi, 
> 
> Is here anyone knows the difference between rapart and 
> bagging when grow a
> CART tree? 
rpart produces one classification or regression tree.  Bagging is a general
technique for combining classifiers or regression models, usually trees,
from bootstrap samples.  The bagging() function in the `ipred' package just
loop over call to rpart().

Andy

 
> Thanks
> 
> Qin
> 
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