GIVEN BELOW DATASET, PROVE MANUALLY THE BEST ASSOCIATIVE RULES OBTAINED BY WEKA

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WEKA OUTPUT :

Apriori =======

Minimum support: 0.2 (5 instances) Minimum metric : 0.9 Number of cycles performed: 16

Generated sets of large itemsets:

Size of set of large itemsets L(1): 11

Size of set of large itemsets L(2): 21

Size of set of large itemsets L(3): 6

Best rules found:

1. tear-prod-rate=reduced 12 ==> contact-lenses=none 12 lift:(1.6) lev:(0.19) [4] conv:(4.5) 2. spectacle-prescrip=myope tear-prod-rate=reduced 6 ==> contact-lenses=none 6 lift:(1.6) lev:(0.09) [2] conv:(2.25) 3. spectacle-prescrip=hypermetrope tear-prod-rate=reduced 6 ==> contact-lenses=none 6 lift:(1.6) lev:(0.09) [2] conv:(2.25) 4. astigmatism=no tear-prod-rate=reduced 6 ==> contact-lenses=none 6 lift:(1.6) lev:(0.09) [2] conv:(2.25) 5. astigmatism=yes tear-prod-rate=reduced 6 ==> contact-lenses=none 6 lift:(1.6) lev:(0.09) [2] conv:(2.25) 6. contact-lenses=soft 5 ==> astigmatism=no 5 lift:(2) lev:(0.1) [2] conv:(2.5) 7. contact-lenses=soft 5 ==> tear-prod-rate=normal 5 lift:(2) lev:(0.1) [2] conv:(2.5) 8. tear-prod-rate=normal contact-lenses=soft 5 ==> astigmatism=no 5 lift:(2) lev:(0.1) [2] conv:(2.5) 9. astigmatism=no contact-lenses=soft 5 ==> tear-prod-rate=normal 5 lift:(2) lev:(0.1) [2] conv:(2.5) 10. contact-lenses=soft 5 ==> astigmatism=no tear-prod-rate=normal 5 lift:(4) lev:(0.16) [3] conv:(3.75)

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DATASET :

young,myope,no,reduced,none young,myope,no,normal,soft young,myope,yes,reduced,none young,myope,yes,normal,hard young,hypermetrope,no,reduced,none young,hypermetrope,no,normal,soft young,hypermetrope,yes,reduced,none young,hypermetrope,yes,normal,hard pre-presbyopic,myope,no,reduced,none pre-presbyopic,myope,no,normal,soft pre-presbyopic,myope,yes,reduced,none pre-presbyopic,myope,yes,normal,hard pre-presbyopic,hypermetrope,no,reduced,none pre-presbyopic,hypermetrope,no,normal,soft pre-presbyopic,hypermetrope,yes,reduced,none pre-presbyopic,hypermetrope,yes,normal,none presbyopic,myope,no,reduced,none presbyopic,myope,no,normal,none presbyopic,myope,yes,reduced,none presbyopic,myope,yes,normal,hard presbyopic,hypermetrope,no,reduced,none presbyopic,hypermetrope,no,normal,soft presbyopic,hypermetrope,yes,reduced,none presbyopic,hypermetrope,yes,normal,none