Grocery Store Transactions. A grocery store introducing items from Italy is interested

in analyzing buying trends of these new $$international$$ items, namely prosciutto, Peroni, risotto, and gelato. The files grocery$\_$binary $($binary matrix format$)$ and grocery$\_$stacked $($stacked data format$)$ provide data on a collection of transactions. LO $7$

a$.$ Use a minimum support of $10\%$ of the transactions $(100$ of the $1,000$ total trans$-$

actions$)$ and a minimum confidence of $50\%$ to generate a list of association rules.

How many rules satisfy this criterion?

b$.$ Use a minimum support of $25\%$ of the transactions $(250$ of the $1,000$ total trans$-$

actions$)$ and a minimum confidence of $50\%$ to generate a list of association rules. How many rules satisfy this criterion? Why may the grocery store want to increase the minimum support required for their analysis? What is the risk of increasing the minimum support required?

c$.$ Using the list of rules from part $($b$),$ consider the rule with the largest lift ratio that also involves an Italian item. Interpret what this rule is saying about the relationship between the antecedent itemset and consequent itemset.

d$.$ Interpret the confidence of the rule with the largest lift ratio that also involves an Italian item.

e$.$ Interpret the lift ratio of the rule with the largest lift ratio that also involves an Italian item.

f$.$ What insight can the grocery store obtain about its purchasers of the Italian fare?