**MART**
with
**R**

**MART**(tm) is an implementation of the
gradient tree boosting methods for predictive data mining (regression and
classification) described in *Greedy Function
Approximation: a Gradient Boosting Machine*
(PostScript),
and *Stochastic Gradient
Boosting*
(PostScript).

An interface for using **MART**(tm) with
the **R** statistical package is
available from Salford Systems.
**R** is freely available from
The R Project for Statistical
Computing. This interface runs with
**R** on PC compatible computers
with a Microsoft operating system (Windows NT/2000/XP), or on Silicon Graphics
(SGI) and Sun Microsystems (SUN) computers running UNIX.

A tutorial introduction *Tutorial: Getting Started with
MART in R*
(PostScript,
pdf)
illustrates the basic facilities of the
**R**/**MART**
interface and how to use them. It presumes minimal knowledge concerning the
technical details of the **MART** methodology
or the use of **R**. The following data files
are used in the tutorial:
xdata,
ydata,
classlab.
These should be saved in *.txt format.

Complete documentation for each
**R**/**MART**
procedure is provided with associated help files, as described in the
readme.txt file provided with the installation.
Some familiarity with the above two papers is helpful when experimenting
with some of the more advanced features and options.

www@stat.stanford.edu