discover rules/associations by weka

 
=== Run information ===

Scheme:       weka.associations.Apriori -N 10 -T 0 -C 0.9 -D 0.05 -U 1.0 -M 0.1 -S -1.0
Relation:     predictstrandon2.txt-weka.filters.unsupervised.attribute.Remove-R12-19,25-weka.filters.unsupervised.attribute.Remove-R1,14-15,17-18-weka.filters.unsupervised.attribute.Remove-R14-weka.filters.unsupervised.attribute.Remove-R9-weka.filters.unsupervised.attribute.Remove-R13
Instances:    61
Attributes:   13
              seq
              res1
              res2
              res3
              res4
              ss
              ss1
              ss2
              ss4
              type
              type2
              typen
              intrastrdonn
=== Associator model (full training set) ===


Apriori
=======

Minimum support: 0.75
Minimum metric : 0.9
Number of cycles performed: 5

Generated sets of large itemsets:

Size of set of large itemsets L(1): 4

Size of set of large itemsets L(2): 5

Size of set of large itemsets L(3): 2

Best rules found:

 1. intrastrdonn=FALSE 55 ==> ss2=C 55    conf:(1)
 2. ss1=C 50 ==> ss2=C 50    conf:(1)
 3. ss4=C 49 ==> ss2=C 49    conf:(1)
 4. ss4=C intrastrdonn=FALSE 48 ==> ss2=C 48    conf:(1)
 5. ss1=C intrastrdonn=FALSE 48 ==> ss2=C 48    conf:(1)
 6. ss4=C 49 ==> ss2=C intrastrdonn=FALSE 48    conf:(0.98)
 7. ss2=C ss4=C 49 ==> intrastrdonn=FALSE 48    conf:(0.98)
 8. ss4=C 49 ==> intrastrdonn=FALSE 48    conf:(0.98)
 9. ss1=C 50 ==> ss2=C intrastrdonn=FALSE 48    conf:(0.96)
10. ss1=C ss2=C 50 ==> intrastrdonn=FALSE 48    conf:(0.96)