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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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