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Association Rules: Infinity for Lift and Confidence

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?

Image: https://us.v-cdn.net/6030995/uploads/editor/co/ke55afc4fcv8.png

If it helps, I have attached my dataset.

And the settings

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Comments

lionelderkrikor

Hi @btibert,

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

https://community.rapidminer.com/discussion/50468/fp-growth-produced-infinite-value-for-association-rules

Hope this helps,

Regards,

Lionel

IgorE

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,
Igor