Message-ID: <20041112141057.19606.qmail@web50308.mail.yahoo.com>
Date: 2004-11-12T14:10:57Z
From: bogdan romocea
Subject: an off-topic question -> model validation
Assuming you have enough data, usually 1/4 to 1/2 is used for
validation.
One reference would be
Picard, R.R. and Berk, K.N. (1990)
"Data Splitting," The American Statistician, 44;140-147.
hth,
b.
-----Original Message-----
From: Wensui Liu [mailto:liuwensui at gmail.com]
Sent: Thursday, November 11, 2004 10:20 PM
To: r-help at stat.math.ethz.ch
Subject: [R] an off-topic question -> model validation
Currently, I am working on a data mining project and plan to divide
the data table into 2 parts, one for modeling and the other for
validation to compare several models.
But I am not sure about the percentage of data I should use to build
the model and the one I should keep to validate the model.
Is there any literature reference about this topic?
Thank you so much!
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