Displaying 3 results from an estimated 3 matches for "response_index".
2006 Jul 24
2
RandomForest vs. bayes & svm classification performance
...erence in performance is observed with different combinations of
parameters, priors and size of training data.
Because I was expecting to see little difference in the perfomance of these
methods I am worried that I may have made a mistake in my randomForest call:
my.rf=randomForest(x=train.df[,-response_index], y=train.df[,response_index],
xtest=test.df[,-response_index], ytest=test.df[,response_index],
importance=TRUE,proximity=FALSE, keep.forest=FALSE)
(where train.df and test.df are my train and test data.frames and response_index
is the column number specifiying the class)
My main question is: cou...
2006 Jul 27
2
memory problems when combining randomForests [Broadcast]
You need to give us more details, like how you call randomForest, versions
of the package and R itself, etc. Also, see if this helps you:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/32918.html
Andy
From: Eleni Rapsomaniki
>
> Dear all,
>
> I am trying to train a randomForest using all my control data
> (12,000 cases, ~ 20 explanatory variables, 2 classes).
> Because
2006 Jul 26
3
memory problems when combining randomForests
Dear all,
I am trying to train a randomForest using all my control data (12,000 cases, ~
20 explanatory variables, 2 classes). Because of memory constraints, I have
split my data into 7 subsets and trained a randomForest for each, hoping that
using combine() afterwards would solve the memory issue. Unfortunately,
combine() still runs out of memory. Is there anything else I can do? (I am not
using