Hi,
I am using the Random Forest package to classify observations into one of two
classes. My data is unbalanced with the minority class accounting for 7% of
total data set.
I have heard the 10-Fold Cross validation can help me with improving
classification. But being new at most of this it's not something I can do
from scratch on my own. So I have spent all this morning trying to find a good
example script of 10-Fold Cross-validation and RandomForest where the ratio of
classes is maintained. I have done multiple google searches. The only thing I
came across was the ipred package and errorest. But when I was going through
the?errorest examples I did not see examples of actual classification output
only error rates. So I turn to you guys. Do you have a script I can refer to
and learn off of to accomplish what I need to accomplish?
Dan
[[alternative HTML version deleted]]
