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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