Forest(..., inbag=TRUE) to see which
> data point is OOB for which tree.
>
> I hope that's clear now.
>
> Cheers,
> Andy
>
>
> --
> *From:* Chrysanthi A. [mailto:chrys...@gmail.com]
> *Sent:* Tuesday, April 28, 2009 8:52 AM
>
look at the output of randomForest(..., inbag=TRUE) to see
which data point is OOB for which tree.
I hope that's clear now.
Cheers,
Andy
From: Chrysanthi A. [mailto:chrys...@gmail.com]
Sent: Tuesday, April 28, 2009 8:52 AM
To: Liaw, Andy
Cc: r-help
; *From:* Chrysanthi A. [mailto:chrys...@gmail.com]
> *Sent:* Monday, April 13, 2009 9:44 AM
>
> *To:* Liaw, Andy
> *Cc:* r-help@r-project.org
> *Subject:* Re: [R] help with random forest package
>
>
> But how does it estimate that voting output? How does it get the 85.7% for
ypo).
Cheers,
Andy
From: Chrysanthi A. [mailto:chrys...@gmail.com]
Sent: Monday, April 13, 2009 9:44 AM
To: Liaw, Andy
Cc: r-help@r-project.org
Subject: Re: [R] help with random forest package
But how does it estimat
> *Sent:* Friday, April 10, 2009 10:44 AM
>
> *To:* Liaw, Andy
> *Cc:* r-help@r-project.org
> *Subject:* Re: [R] help with random forest package
>
>
>
> Hi,
>
> To be honest, I cannot really understand what is the meaning of the votes..
> For example havin
riday, April 10, 2009 10:44 AM
To: Liaw, Andy
Cc: r-help@r-project.org
Subject: Re: [R] help with random forest package
Hi,
To be honest, I cannot really understand what is the meaning of
the votes.. For example having five sa
t;
> --
> *From:* Chrysanthi A. [mailto:chrys...@gmail.com]
> *Sent:* Wednesday, April 08, 2009 2:56 PM
> *To:* Liaw, Andy
> *Cc:* r-help@r-project.org
> *Subject:* Re: [R] help with random forest package
>
> Many thanks for the reply.
>
>
, just the underlying representation of the tree).
Andy
From: Chrysanthi A. [mailto:chrys...@gmail.com]
Sent: Wednesday, April 08, 2009 2:56 PM
To: Liaw, Andy
Cc: r-help@r-project.org
Subject: Re: [R] help with random fore
Many thanks for the reply.
So, extracting the votes, how can we clarify the classification result? If I
want to predict in which class will be included an unknown sample, what is
the rule that will give me that?
Thanks a lot,
Chrysanthi.
2009/4/8 Liaw, Andy
> The source code of the whole pa
The source code of the whole package is available on CRAN. All packages
are submitted to CRAN is source form.
There's no "rule" per se that gives the final prediction, as the final
prediction is the result of plural vote by all trees in the forest.
You may want to look at the varUsed() and getTr
Hello,
I am a phd student in Bioinformatics and I am using the Random Forest
package in order to classify my data, but I have some questions.
Is there a function in order to visualize the trees, so as to get the rules?
Also, could you please provide me with the code of "randomForest" function,
as
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