Hi Sebastian,
The bootstrap sample size is always the same as the input sample size. If
you feel up to it, a pull request updating the documentation would probably
be quite welcome.
-Jeff
On Mon, Jul 6, 2015 at 12:21 PM, Sebastian Raschka <se.rasc...@gmail.com>
wrote:
> Hi, all,
>
> I am wondering what the sample size of the bootstrap samples are in the
> RandomForestClassifier/Regressor (if bootstrap=True, default setting). From
> the documentation
>
>
> http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier
> :
> > [...] that fits a number of decision tree classifiers on various
> sub-samples of the dataset
>
> and
>
> http://scikit-learn.org/stable/modules/ensemble.html#random-forests:
> > [...] each tree in the ensemble is built from a sample drawn with
> replacement (i.e., a bootstrap sample) from the training set.
>
> Is the sample size of the bootstrap sample equal to the "original" sample
> size in the training set? If not, can it be controlled somehow? Maybe a
> short note could be added to the documentation for clarity.
>
> Best,
> Sebastian
>
>
>
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