Hi,
is it possible to have r code which runs random forests and takes the top 7
variables based on variable importance and builds a model of trying
interactions terms for each variable. Then builds 7 models and keeps the one
with the lowest aic.
this would be like a new form of step wise regression using random forests with
interaction terms.
any code help would be much appreciated.
thanks
Dhruv
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