i believe it is not a question only related to regression modeling. The
correlation between the sample size and confidence of prediction in data
mining is not as clear as traditional stat approach.  My concern is not in
that theoretical discussion but more practical, looking for a good algorithm
when response variable is continuous when large dataset is concerned.

On 4/25/06, bogdan romocea <br44114@gmail.com> wrote:
>
> There is an aspect, worthy of careful consideration, you don't seem to
> be aware of. I'll ask the question for you: How does the
> explanatory/predictive potential of a dataset vary as the dataset gets
> larger and larger?
>
>
> > -----Original Message-----
> > From: r-help-bounces@stat.math.ethz.ch
> > [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Weiwei Shi
> > Sent: Monday, April 24, 2006 12:45 PM
> > To: r-help
> > Subject: [R] regression modeling
> >
> > Hi, there:
> > I am looking for a regression modeling (like regression
> > trees) approach for
> > a large-scale industry dataset. Any suggestion on a package
> > from R or from
> > other sources which has a decent accuracy and scalability? Any
> > recommendation from experience is highly appreciated.
> >
> > Thanks,
> >
> > Weiwei
> >
> > --
> > Weiwei Shi, Ph.D
> >
> > "Did you always know?"
> > "No, I did not. But I believed..."
> > ---Matrix III
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> >
>



--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

	[[alternative HTML version deleted]]


