By default bootstrap=True, so a bootstrap sample is used.
That means the number of samples is the same as the original number of
samples,
but only about 2/3 of the dataset is used, the rest are duplicates. For
efficiency, the samples are actually represented using sample weights.
On 03/11/2015
this can help
Message: 4
> Date: Wed, 11 Mar 2015 15:22:29 +
> From: "Pagliari, Roberto"
> Subject: [Scikit-learn-general] random forests - number of samples
> To: "scikit-learn-general@lists.sourceforge.net"
>
> Message-ID:
> <
>
How many samples does a single tree of a random use? Or does it use all samples?
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