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.

Set the minimum antecedent support to 1%, the minimum rule confidence to 5%, and the maximum number of antecedents to 1. Use rule confidence as your evaluation measure.

a. Find the association rule with the greatest lift.

b. Report the following for the rule in (a).

i. Number of instances 

ii. Support % (as defined in this chapter)

iii. Confidence %

iv. Rule support %

v. Lift vi. Deployability

c. Using hand calculations, show how the measures were calculated.

d. Explain, in terms of this data, what each of the measures in (c) means (you can skip (i)).