Question: Use the churn data set, given at the book series website, for the following exercises. Use the Churn_Training_File. Filter out all variables except the following:

Use the churn data set, given at the book series website, for the following exercises. Use the Churn_Training_File. Filter out all variables except the following: VMail Plan, Intl Plan, CustServ Calls, and Churn. Set CustServ Calls to be ordinal. Allow the three predictors to be in either antecedent or consequent, but do not allow Churn to be in the antecedent.

Compare the results from the a priori algorithm with those of the GRI algorithm. Which algorithm yields a richer set of rules, and why? Which algorithm is probably preferable for this particular data set? Why?

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