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
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Are there any built in functions for that purpose of LAGO?
On Mon, Apr 13, 2009 at 2:17 PM, oloolo <firstname.lastname@example.org> wrote:
> biased sampling
> 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.
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