Association Rules: Infinity for Lift and Confidence

btibertbtibert Member, University Professor Posts: 146 Guru
edited October 2019 in Help
Admittedly I am stumped as to why every single rule in my dataset has a value of infinity for lift.  What could the intuition of this possibly be?

If it helps, I have attached my dataset.

And the settings


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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    Hi @btibert,

    Unfortunately, I'm not an expert in "association rules" theory, but I found an answer element in the community : 


    Hope this helps,


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    IgorEIgorE Member Posts: 4 Learner I
    I have a similar question about infinite confidence. 
    conf(X implies Y) = supp(X ∪Y) / supp(X) .
     supp(X ∪Y) = occurs(X ∪Y) / total_records
     supp(X) = occurs(X) / total_records

    so (if I'm not mistaken)

     conf(X implies Y) = occurs(X ∪Y) / occurs(X)

    How can it amount to infinity?

    I have two very similar datasets. RM generates very similar rules but in one case for the same rule, the confidence is 0.99 in another it's infinity.

    Please advise,
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