Re: Random Forest model (number of trees)

> 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.

#predictors is the number of attributes without the class. If you have
20 features incl the class, then you get:
int(log_2(19)+1) = 5

Broken down:
log_2(19) ~ 4.25
log_2(19) + 1 ~ 5.25
int(log_2(19)+1) = 5

That's the number of attributes that are randomly chosen for a tree in
RandomForest.

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/
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