Date:         Mon, 13 Apr 2009 14:51:32 +0800
Reply-To:     Alex Murphy <goladin@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Alex Murphy <goladin@GMAIL.COM>
Subject:      Re: Low Event Rate Predictive Modeling
Comments: To: oloolo <dynamicpanel@yahoo.com>
In-Reply-To:  <200904130617.n3CAnGec020886@malibu.cc.uga.edu>
Content-Type: text/plain; charset=ISO-8859-1

Hi,

Are there any built in functions for that purpose of LAGO?

Regards,
Murphy

On Mon, Apr 13, 2009 at 2:17 PM, oloolo <dynamicpanel@yahoo.com> wrote:

> biased sampling
> or
> methods leverage on local properties, such as LAGO proposed by Prof. Zhu
> from Univ of Waterloo
>
> On Sun, 12 Apr 2009 13:31:54 -0700, keqiang.hou@GMAIL.COM wrote:
>
> >How is it possible to build a predictive model (either logistic, or
> >decision tree, or neural network) with more than millions of good
> >events while only about 300 bad events.
> >It sounds ridiculous, but we have to find a way.
> >
> >Anyone with experience in predictive modeling can answer my question?
> >
> >
> >Many thanks.
>



--
Regards,
Murphy Choy

Certified Advanced Programmer for SAS V9
Certified Basic Programmer for SAS V9
DataShaping Certified SAS Professional