# (Referencing problem 6.1 from 'Data Mining for Business Analytics Concepts, Techniques, and Applications in R' Shmueli,...

###### Question:

(Referencing problem 6.1 from 'Data Mining for Business Analytics Concepts, Techniques, and Applications in R' Shmueli, et.al.) 6.1.d.iii. reads as follows: " Use stepwise regression with the three options (backward, forward, both) to reduce the remaining predictors as follows: Run stepwise on the training set. Choose the top from each stepwise run. Then use each of these models separately to predict the validation set. Compare RMSE, MAPE, and mean error, as well as lift charts. Finally, describe the best model."

For the bolded parts of the book question, I'm not clear what I'm supposed to be doing with these. I did run stepwise regression for the three backward, forward, and both options, but it's not clear to me what in the outputs I use to 'choose the top from each stepwise run'. Insight how to proceed is greatly appreciated here

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