HW-10 - apriori in Weka. List 3 rules that you find...

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1. In the “Stadium Heartburn Data”, a) derive an association rule with two items in the antecedent with the consequent ice_cream? Compute the support and confidence. b) What are 5 possible rules for the item set {beer, hotdogs, nachos}? Compute their support and confidence. (Assume min_confidence=0) Solution: 1. beer hotdogs ice_cream 2. beer nachos soda 3. hotdogs ice_cream nachos 4. beer hotdogs ice_cream nachos 5. hotdogs ice_cream 6. beer hotdogs nachos 7. nachos soda 8. beer hotdogs ice_cream nachos 9. ice_cream nachos soda 10. beer hotdogs ice_cream a) Beer, Hotdogs => ice_cream
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Support = 4/10 = 40% Confidence = 4/5 = 80% b) 5 possible rules for the item set {beer, hotdogs, nachos} : 1. Beer, hotdogs => nachos s=3/10 c=3/5 [30%, 60%] 2. Beer, nachos => hotdogs s=3/10 c= 3/4 [30%, 75%] 3. Nachos, hotdog => beer s=3/10 c=3/4 [30%, 75%] 4. Beer => hotdog, nachos s=3/10 c=3/6 [30%, 50%] 5. Hotdog => beer, nachos s=3/10 c=3/7 [30%, 43%] 2. Choose 4 or 5 categorical attributes from your class project data set and run
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Unformatted text preview: apriori in Weka. List 3 rules that you find interesting? Solution: Attributes chosen: HNTLIK01, HUNT00, JOB, MARITAL, HUNT01 txns with beer, hotdog txns with ice_cream #1 #4 #8 #10 #6 #3 #5 #9 #2 #7 APRIORI Output: Parameter Setting: lowerBoundMinSupport = 0.01 numRules = 100 Total rules generated = 95. Apriori ======= Minimum support: 0.05 Minimum metric <confidence>: 0.9 Number of cycles performed: 19 Generated sets of large itemsets: Size of set of large itemsets L(1): 14 Size of set of large itemsets L(2): 44 Size of set of large itemsets L(3): 50 Size of set of large itemsets L(4): 21 Size of set of large itemsets L(5): 3 I find the following three rules more interesting: HNTLIK01=Very_unlikely HUNT00=No MARITAL=Married 5425 ==> HUNT01=No 5425 conf:(1) HNTLIK01=Very_unlikely HUNT00=No JOB=Yes MARITAL=Married 3449 ==> HUNT01=No 3449 conf:(1) HNTLIK01=Not_Answered HUNT00=Yes MARITAL=Married 907 ==> HUNT01=Yes 904 conf:(1)...
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This note was uploaded on 08/25/2011 for the course CPE 404 taught by Professor Merz during the Fall '09 term at Missouri S&T.

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HW-10 - apriori in Weka. List 3 rules that you find...

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