Dear forum members,
I wrote a piece of code to test various combinations of mtry and ntree, so
that the best combination (in terms of mse) could be used. Before each
randomForest command I included a set.seed() command, so that I can keep
track of the seed number and replicate the results. However, when I run the
randomForest command again with the seed number corresponding to the best
combination I get a different mse. Any suggestions?
Thanks and best wishes
Joao
------------
## Define the number of trees to test
nt <- c(100, 200, 300, 400, 500, 700, 900, 1000)
## Define the number of variables to be randomly selected at each node
mt <- c(1, 2, 3)
##
a <- 0
##
## For loop to test the various combinations of ntree and mtry
for (j in 1:8)
for (i in 1:3)
{
b <- 1968 + a
set.seed(b)
HH <- randomForest(HH_MEAN ~ ASF + PALU + FC
,
data = model.data,
ntree = nt[j],
mtry = mt[i],
replace = T,
}
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