Displaying 5 results from an estimated 5 matches for "nbagg".
2009 Sep 11
0
ipred bagging segfault on 64 bit linux build
...(Forbes2000, !is.na(profits))
datasize=length(Forbes2000$profits)
f <- rpart(profits ~ assets + marketvalue + sales, data=Forbes2000)
fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000)
fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000,
nbagg=100,coob=TRUE)
fb <- bagging(profits ~ assets + marketvalue + sales, data=Forbes2000,
nbagg=100,coob=TRUE, ns=round(.9*datasize))
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2011 Feb 18
0
Weights in bagged regression trees
...e in bagging? I know that weights are not possible in regression under randomforests.
#this works
r1w <- rpart(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson")
#this works
b1 <- bagging(how_many ~ covariates, data=ttv.data.sk, method="poisson", coob=T, nbagg=30)
#this fails
b1w <- bagging(how_many ~ covariates, data=ttv.data.sk, weights, method="poisson", coob=T, nbagg=30)
thanks in advance
Simon
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2002 Aug 27
1
unlist (rpart.object.list)
Hello,
can me please help anbody how it is possible
unlist a "rpart.object.list" i.e. from bagging(ipred) to
plot this "unique" several rpart.objects .
..i make attempts with unlist, get really atomic
elements, but need only the different tree's !
Thanks for advance
& regards,Christian
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2004 Feb 06
0
problem with bagging
...ompared to rpart), but instead gives
much worse results !
Running rpart on my data gives error rate of about 0.3
and bagging, instead of improving this results, gives
error rate of 0.9 !!!
I'm running both rpart and bagging with exactly the
same parameters, I even tried to run bagging() with
nbagg=1, which should be identical to rpart, but still
- bagging gives this terrible error rate.
Any help would be appriciated.
2007 Sep 10
1
using bootstrap for tree selection step in rpart
Hi
I was wondering if someone could help me with an rpart problem. I can see
that cross-validation is the default for tree selection in rpart -- has a
bootstrap method been implemented anywhere? I think this is a different
thing to 'bagging' or 'boosting' -- I still want 'one' tree at the end, I
just would like it chosen using a bootstrap method. Any ideas???
Thanks