=== 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-R1-2,4,6
Instances:    8171
Attributes:   2
              CLASSI_FIN
              DI_1_2_DOSE
=== 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): 8

Size of set of large itemsets L(2): 6

Best rules found:

        1. DI_1_2_DOSE=100 > 168 ==> CLASSI_FIN=OUTROS 124    <conf:(0.74)> lift:(1.62) lev:(0) [47] conv:(2.03)
        2. DI_1_2_DOSE=100 453 ==> CLASSI_FIN=OUTROS 295    <conf:(0.65)> lift:(1.43) lev:(0.01) [88] conv:(1.55)
        3. DI_1_2_DOSE=28 384 ==> CLASSI_FIN=OUTROS 243    <conf:(0.63)> lift:(1.39) lev:(0.01) [67] conv:(1.47)
        4. DI_1_2_DOSE=42 227 ==> CLASSI_FIN=OUTROS 140    <conf:(0.62)> lift:(1.35) lev:(0) [36] conv:(1.4)
        5. DI_1_2_DOSE=28 384 ==> CLASSI_FIN=SIM 127    <conf:(0.33)> lift:(0.65) lev:(-0.01) [-68] conv:(0.73)
        6. DI_1_2_DOSE=100 453 ==> CLASSI_FIN=SIM 148    <conf:(0.33)> lift:(0.64) lev:(-0.01) [-82] conv:(0.73)
        7. CLASSI_FIN=OUTROS 4860 ==> DI_1_2_DOSE=100 295    <conf:(0.06)> lift:(1.43) lev:(0.01) [88] conv:(1.02)
        8. CLASSI_FIN=OUTROS 4860 ==> DI_1_2_DOSE=28 243    <conf:(0.05)> lift:(1.39) lev:(0.01) [67] conv:(1.01)
        9. CLASSI_FIN=OUTROS 4860 ==> DI_1_2_DOSE=42 140    <conf:(0.03)> lift:(1.35) lev:(0) [36] conv:(1.01)
       10. CLASSI_FIN=SIM 5419 ==> DI_1_2_DOSE=100 148    <conf:(0.03)> lift:(0.64) lev:(-0.01) [-82] conv:(0.98)
       11. CLASSI_FIN=OUTROS 4860 ==> DI_1_2_DOSE=100 > 124    <conf:(0.03)> lift:(1.62) lev:(0) [47] conv:(1.01)
       12. CLASSI_FIN=SIM 5419 ==> DI_1_2_DOSE=28 127    <conf:(0.02)> lift:(0.65) lev:(-0.01) [-68] conv:(0.99)