Re: Random Forest model (number of trees)

Hi Peter

I am sorry but I did not understand your point. In the more option, I can
see

numFeatures -- Sets the number of randomly chosen attributes. If 0,
int(log_2(#predictors) + 1)

but how can I get the number of variables for each node? I have 20 features
in my dataset.

Thank you

On Tue, Apr 27, 2021 at 12:44 AM Peter Reutemann <[email protected]>
wrote:

> > If I am using the Random Forest model, how many trees will it have and
> how many variables would be available for each tree node? I think the
> default number of trees in Weka is 100 but in that case, how many variables
> for each tree node?
>
> Copy/paste from the "More" dialog:
>
> numFeatures -- Sets the number of randomly chosen attributes. If 0,
> int(log_2(#predictors) + 1) is used.
>
> Cheers, Peter
> --
> Peter Reutemann
> Dept. of Computer Science
> University of Waikato, NZ
> +64 (7) 577-5304
> http://www.cms.waikato.ac.nz/~fracpete/
> http://www.data-mining.co.nz/
> _______________________________________________
> Wekalist mailing list -- [email protected]
> Send posts to [email protected]
> To unsubscribe send an email to [email protected]
> To subscribe, unsubscribe, etc., visit
> https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
> List etiquette:
> http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html
>

_______________________________________________
Wekalist mailing list -- [email protected]
Send posts to [email protected]
To unsubscribe send an email to [email protected]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html