[R] How to estimate whether overfitting?
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Mon May 10 03:13:03 CEST 2010
On Sun, May 9, 2010 at 11:53 AM, David Winsemius <dwinsemius at 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 data, I have R2=0.94 for the training set and for the
>> set R2=0.70, is overfitting?
>> 2. in this scatter, can one say this overfitting?
>> 3. my result is obtained by svm, and the sample are 156 and 52 for the
>> training and test sets, and predictors are 96, In this case, can svm be
>> employed to perform prediction? whether the number of the predictors are
>> too many ?
> I think you need to buy a copy of Hastie, Tibshirani, and Friedman and do
> some self-study of chapters 7 and 12.
And you don't even have to buy it before you can start studying since
the PDF is available here:
Having a hard cover is always handy, tho ..
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
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