Dear Researches,

I am using RF (in regression way) for analize several metrics extract from
image. I am tuning RF setting a loop using different range of mtry, tree
and nodesize using the lower value of MSE-OOB

mtry from 1 to 5
nodesize from1 to 10
tree from 1 to 500

using this paper as refery

Palmer, D. S., O'Boyle, N. M., Glen, R. C., & Mitchell, J. B. O. (2007).
Random Forest Models To Predict Aqueous Solubility. Journal of Chemical
Information and Modeling, 47, 150-158.

my problem is the following using data(airquality) :

the tunning parameters with the lower value is:

> print(result.mtry.df[result.mtry.df$RMSE == min(result.mtry.df$RMSE),])
*RMSE  = 15.44751
MSE = 238.6257
mtry = 3
nodesize = 5
tree = 35*

the numer of tree is very low, different respect how i can read in several
pubblications

And the second value lower is a tunning parameters with *tree = 1*

print(head(result.mtry.df[
with(result.mtry.df, order(MSE)), ]))
          RMSE      MSE mtry nodesize tree
12035 15.44751 238.6257    3        5   35
*18001 15.44861 238.6595    4        7    1
*7018  16.02354 256.7539    2        5   18
20031 16.02536 256.8121    5        1   31
11037 16.02862 256.9165    3        3   37
11612 16.05162 257.6544    3        4  112

i am wondering if i wrong in the setting or there are some aspects i don't
conseder.
thanks for attention and thanks in advance for suggestions and help

Gianni

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