below contains a small sample of data in which each transaction consists of the items purchased by a shopper in a single visit to the store. Transaction Items 1 bread, eggs, milk N bread, sugar 3 bread, cereal 4 eggs, milk 5 bread, cereal 6 bread, milk, sugar 7 bread, cereal, eggs, milk 8 bread, milk 9 bread, cereal, milk 10 bread, cereal, eggs, milk Consider an association rule: If (eggs, milk), then (cereal) Question 28 (5 points) A . Use 2- The support of antecedent = decimal accuracy for the final answer, e.g., 0.12, when necessary. Question 29 (5 points) A Use 2- The support of consequent decimal accuracy for the final answer, e.g., 0.12, when necessary. Question 30 (5 points) The support of antecedent and consequent - A/ Use 2-decimal accuracy for the final answer, e.g., 0.12, when necessary. Question 31 (5 points) The confidence A Use 2-decimal accuracy for the final answer, e.g., 0.12, when necessary. Question 32 (5 points) The lift ratio = A Use 2-decimal accuracy for the final answer, e.g., 0.12, when necessary. Question 33 (5 points) For the sample data, the aforementioned association rule "If{eggs, milk), then (cereal)" is more useful in identifying a customer who is likely to purchase cereal than no association rule at all le.g., random sampling). This statement is true false cannot tell whether it is true or false; more information is needed. Previous Page Next Page Page 27 of 27