=== Run information ===

Scheme:       weka.associations.Apriori -N 100000000 -T 0 -C 0.01 -D 0.05 -U 1.0 -M 0.01 -S -1.0 -c -1
Relation:     BaseSIVEPConf2-weka.filters.unsupervised.attribute.NumericToNominal-Rfirst-last-weka.filters.unsupervised.attribute.NumericToNominal-Rfirst-last-weka.filters.unsupervised.attribute.StringToNominal-R5-6-weka.filters.unsupervised.attribute.MergeManyValues-C3-LSIM-R1-weka.filters.unsupervised.attribute.MergeManyValues-C3-LNAO-R1-weka.filters.unsupervised.attribute.MergeManyValues-C4-LSIM-R1-weka.filters.unsupervised.attribute.MergeManyValues-C4-LNAO-R1-weka.filters.unsupervised.attribute.MergeManyValues-C3-LOUTROS-R3-weka.filters.unsupervised.attribute.Remove-R1-2,5-6
Instances:    8171
Attributes:   2
              CLASSI_FIN
              VACINA_COV
=== Associator model (full training set) ===


Apriori
=======

Minimum support: 0.01 (106 instances)
Minimum metric <confidence>: 0.01
Number of cycles performed: 20

Generated sets of large itemsets:

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

Size of set of large itemsets L(2): 4

Best rules found:

        1. VACINA_COV=SIM 2245 ==> CLASSI_FIN=OUTROS 1317    <conf:(0.59)> lift:(1.29) lev:(0.03) [292] conv:(1.31)
        2. VACINA_COV=NAO 3851 ==> CLASSI_FIN=OUTROS 2037    <conf:(0.53)> lift:(1.16) lev:(0.03) [278] conv:(1.15)
        3. VACINA_COV=NAO 3851 ==> CLASSI_FIN=SIM 1650    <conf:(0.43)> lift:(0.84) lev:(-0.03) [-310] conv:(0.86)
        4. CLASSI_FIN=OUTROS 4860 ==> VACINA_COV=NAO 2037    <conf:(0.42)> lift:(1.16) lev:(0.03) [278] conv:(1.1)
        5. VACINA_COV=SIM 2245 ==> CLASSI_FIN=SIM 855    <conf:(0.38)> lift:(0.75) lev:(-0.03) [-287] conv:(0.79)
        6. CLASSI_FIN=SIM 5419 ==> VACINA_COV=NAO 1650    <conf:(0.3)> lift:(0.84) lev:(-0.03) [-310] conv:(0.92)
        7. CLASSI_FIN=OUTROS 4860 ==> VACINA_COV=SIM 1317    <conf:(0.27)> lift:(1.29) lev:(0.03) [292] conv:(1.08)
        8. CLASSI_FIN=SIM 5419 ==> VACINA_COV=SIM 855    <conf:(0.16)> lift:(0.75) lev:(-0.03) [-287] conv:(0.94)