Bacon 1 Donut 1 1 Product Chicken 1 1 1 1 Apple 1 1 1 1 1 Eggs 1 1 1 PP Adam Brian Chase Customer David Edward Fred Total 1 1 1 1 5 1 1 4 5 4 3 Based on this transaction records, we will calculate various performance measures of association rules. Question 1) You can find the formulas for the support, confidence, and lift of association rule from the class slides. Using those formulas, you are able to calculate the association rules performance measures. Based on your calculation, fill out the following table with your answers. Provide the details of how you get the answers. (Hint: Rule Support means the support of the itemset that includes all the items both in the antecedents and the consequents.) No. Association Rule Lift Antecedent Rule Support Confidence itemset (%) (%) Support (%) 1 2 3 4 5 Apple Bacon Bacon Apple Chicken Eggs Apple & Chicken Eggs Bacon & Chicken Eggs A grocery store is examining the transactions of its customers to understand what products are likely to be purchased together. In the following table, 25 transaction records of 5 products that were purchased by 6 customers are summarized. Total Bacon 1 Donut 1 1 Product Chicken 1 1 1 1 Apple 3 2 1 1 1 Eggs 2 1 1 Adam Brian Chase Customer David Edward Fred Total 8 5 4 PPPN 1 1 1 000 mm 1 5 1 1 4 8 4 4 25 For example, Adam has bought eggs twice whereas David has never purchased eggs. However, the multiple purchases are counted only once for this association rule mining problem, of which objective is to find what products are purchased together by the customers. Therefore, we create a new table where multiple purchases of the same item by the same customers as a single purchase as follows. Bacon 1 Donut 1 1 Product Chicken 1 1 1 1 Apple 1 1 1 1 1 Eggs 1 1 1 PP Adam Brian Chase Customer David Edward Fred Total 1 1 1 1 5 1 1 4 5 4 3 Based on this transaction records, we will calculate various performance measures of association rules. Question 1) You can find the formulas for the support, confidence, and lift of association rule from the class slides. Using those formulas, you are able to calculate the association rules performance measures. Based on your calculation, fill out the following table with your answers. Provide the details of how you get the answers. (Hint: Rule Support means the support of the itemset that includes all the items both in the antecedents and the consequents.) No. Association Rule Lift Antecedent Rule Support Confidence itemset (%) (%) Support (%) 1 2 3 4 5 Apple Bacon Bacon Apple Chicken Eggs Apple & Chicken Eggs Bacon & Chicken Eggs A grocery store is examining the transactions of its customers to understand what products are likely to be purchased together. In the following table, 25 transaction records of 5 products that were purchased by 6 customers are summarized. Total Bacon 1 Donut 1 1 Product Chicken 1 1 1 1 Apple 3 2 1 1 1 Eggs 2 1 1 Adam Brian Chase Customer David Edward Fred Total 8 5 4 PPPN 1 1 1 000 mm 1 5 1 1 4 8 4 4 25 For example, Adam has bought eggs twice whereas David has never purchased eggs. However, the multiple purchases are counted only once for this association rule mining problem, of which objective is to find what products are purchased together by the customers. Therefore, we create a new table where multiple purchases of the same item by the same customers as a single purchase as follows