|Date: ||Sat, 30 Jul 2011 08:09:47 -0400|
|Reply-To: ||Paul <johnsaxo@GMAIL.COM>|
|Sender: ||"SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>|
|From: ||Paul <johnsaxo@GMAIL.COM>|
|Subject: ||Predictive model for rare event|
I would like to build a predictive model(Logistic regression or decision
tree or NNet . But the frequency of the event I am predicting is extremely
small less than 1%.
In fact here is my frequency distribution of my dependent variable
Q1: What is the minimum sample size to run a reliable model?
Q2: What model could best fit this type of distribution where my event is
less than 1% and in this case 150 out of 20000 ?
Q3:Is there a minimum N sample size when running a decision Tree I tried
to run a decision but got no results.
I turning to the group here to seek for ideas . Your assistance is more
more than welcome.
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