Maybe I am wrong, but I think bootstrap is a general resampling method which can be used for different purposes...Usually it works well when you do not have a presentative sample set (maybe with limited number of samples). Therefore, I am positive with Michal...
P.S., overfitting, in my opinion, is used to depict when you got a model which is quite specific for the training dataset but cannot be generalized with new samples......
2008/7/21 Doran, Harold <HDoran_at_air.org>:
> > I used bootstrap to virtually increase the size of my
> > dataset, it should result in estimates more close to that
> > from the population - isn't it the purpose of bootstrap?
> No, not really. The bootstrap is a resampling method for variance
> estimation. It is often used when there is not an easy way, or a closed
> form expression, for estimating the sampling variance of a statistic.
> R-help_at_r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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