In the original version of breiman random forest n samples with
replacement are selected to build each tree.
So each tree should be build with the n sample where n is the total number
of samples. (they are chosen with replacement tough)
I do not know if sklearn follows this standard.
I hope this can help
Message: 4
> Date: Wed, 11 Mar 2015 15:22:29 +0000
> From: "Pagliari, Roberto" <rpagli...@appcomsci.com>
> Subject: [Scikit-learn-general] random forests - number of samples
> To: "scikit-learn-general@lists.sourceforge.net"
> <scikit-learn-general@lists.sourceforge.net>
> Message-ID:
> <
> 7f8b451e34fcdb459e934b4f50451096848...@rrc-ats-exmb2.ats.atsinnovate.com>
>
> Content-Type: text/plain; charset="iso-8859-1"
>
> How many samples does a single tree of a random use? Or does it use all
> samples?
>
>
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