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Scheme:
weka.associations.Apriori -N 40-T 0 -
C 0.7 -D 0.05 - U 1.0 -M 0.3 -S - 1.0 -c -1
Relation: weather.symbolic
Instances: 14
Attributes: 5
outlook temperature humidity windy play
=== Associator model (full training set) ===
Apriori
========
Minimum support: 0.3 (4 instances)
Minimum metric < confidence>: 0.7
Number of cycles performed: 14
Generated sets of large itemsets:
Size of set of large itemsets L(1): 12
Size of set of large itemsets L(2): 9
Size of set of large itemsets L(3): 1
Best rules found:
1. outlook=overcast 4 ==> play=yes 4 <conf: (1)> lift: (1.56) lev:(0.1) [1] conv:(1.43)
2. temperature=cool 4 ==> humidity=normal 4
< conf: (1) > lift:(2) lev:(0.14) [2] conv:(2)
1. 
2.humidity=normal windy=FALSE 4 ==> play=yes 4 <conf:(1)> lift: (1.56) lev:(0.1) [1] conv:(1.43)
3.humidity=normal 7 ==> play=yes 6 <conf:
(0.86) > lift: (1.33) lev:(0.11) [1] conv:(1.25)
5. play=no 5 ==> humidity=high 4
• < conf:(0.8)>
lift: (1.6) lev:(0.11) [1] conv:(1.25)
6. windy=FALSE 8 ==> play=yes 6
< conf: (0.75) >
lift: (1.17) lev:(0.06) [0] conv:(0.95)

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