Lianoglou
Sent: Sunday, May 09, 2010 6:13 PM
To: David Winsemius
Cc: r-help@r-project.org; bbslover
Subject: Re: [R] How to estimate whether overfitting?
On Sun, May 9, 2010 at 11:53 AM, David Winsemius dwinsem...@comcast.net
wrote:
On May 9, 2010, at 9:20 AM, bbslover wrote:
1. is there some
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of dlu...@yeah.net
Sent: Tuesday, May 11, 2010 3:23 AM
To: Bert Gunter
Cc: r-help@r-project.org
Subject: Re: [R] How to estimate whether overfitting?
thanks for your help. maybe I have
On 05/10/2010 12:32 AM, bbslover wrote:
many thanks . I can try to use test set with 100 samples.
anther question is that how can I rationally split my data to training set
and test set? (training set with 108 samples, and test set with 100 samples)
as I know, the test set should the same
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Steve Lianoglou
Sent: Sunday, May 09, 2010 6:13 PM
To: David Winsemius
Cc: r-help@r-project.org; bbslover
Subject: Re: [R] How to estimate whether overfitting?
On Sun, May 9, 2010 at 11
1. is there some criterion to estimate overfitting? e.g. R2 and Q2 in the
training set, as well as R2 in the test set, when means overfitting. for
example, in my data, I have R2=0.94 for the training set and for the test
set R2=0.70, is overfitting?
2. in this scatter, can one say this
On May 9, 2010, at 9:20 AM, bbslover wrote:
1. is there some criterion to estimate overfitting? e.g. R2 and Q2
in the
training set, as well as R2 in the test set, when means
overfitting. for
example, in my data, I have R2=0.94 for the training set and for
the test
set R2=0.70, is
On Sun, May 9, 2010 at 11:53 AM, David Winsemius dwinsem...@comcast.net wrote:
On May 9, 2010, at 9:20 AM, bbslover wrote:
1. is there some criterion to estimate overfitting? e.g. R2 and Q2 in the
training set, as well as R2 in the test set, when means overfitting. for
example, in my
thanks for your suggestion.
many I need to learn indeed. I will buy that good book.
kevin
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On 05/09/2010 10:53 AM, David Winsemius wrote:
On May 9, 2010, at 9:20 AM, bbslover wrote:
1. is there some criterion to estimate overfitting? e.g. R2 and Q2 in the
training set, as well as R2 in the test set, when means overfitting. for
example, in my data, I have R2=0.94 for the training
thank you, I have downloaded it. studying
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Sent from the R help mailing list archive at Nabble.com.
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R-help@r-project.org
many thanks . I can try to use test set with 100 samples.
anther question is that how can I rationally split my data to training set
and test set? (training set with 108 samples, and test set with 100 samples)
as I know, the test set should the same distribute to the training set. and
what
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