You can try to hunt for it in the findbestsplit Fortran subroutine. It
uses some thing that's equivalent (but easier to compute), not exactly
identical. Breiman uses whatever computational shortcuts he could find
in his code.
Best,
Andy
________________________________
From: Chrysanthi A. [mailto:[email protected]]
Sent: Tuesday, September 29, 2009 4:55 PM
To: Liaw, Andy
Cc: [email protected]
Subject: Re: [R] how to visualize gini coefficient in each node
in RF?
Thanks for the reply! However, what is the code that is used in
order to calculate it.. Is it included in the "randomForest" R
function.. Because I am trying to find the code corresponding to the
estimation of the gini coefficient but I am a bit confused. Could you
please help me, by indicating me that?
thanks a lot,
chrysanthi
2009/9/29 Liaw, Andy <[email protected]>
No. The forest object is too large as is. I didn't
think it's worth
the extra memory to store them. They were never kept
even in the
Fortran/C code.
Andy
From: Chrysanthi A.
> Sent: Monday, September 28, 2009 5:20 PM
> To: [email protected]
> Subject: [R] how to visualize gini coefficient in each
node in RF?
>
> Dear all,
>
> I am working with randomForest package and I am
interested in
> examining the
> "Gini importance" measures that are used as a general
> indicator of feature
> relevance. Is there a possibility of getting the Gini
measure
> that is being
> estimated in each tree by the output of the getTree()
function?
>
> Thanks a lot,
>
> Chrysanthi
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [email protected] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained,
reproducible code.
>
Notice: This e-mail message, together with any
attachments, contains
information of Merck & Co., Inc. (One Merck Drive,
Whitehouse Station,
New Jersey, USA 08889), and/or its affiliates (which may
be known
outside the United States as Merck Frosst, Merck Sharp &
Dohme or
MSD and in Japan, as Banyu - direct contact information
for affiliates is
available at http://www.merck.com/contact/contacts.html)
that may be
confidential, proprietary copyrighted and/or legally
privileged. It is
intended solely for the use of the individual or entity
named on this
message. If you are not the intended recipient, and have
received this
message in error, please notify us immediately by reply
e-mail and
then delete it from your system.
Notice: This e-mail message, together with any attachme...{{dropped:15}}
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
