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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?

If it helps, I have attached my dataset.
And the settings


If it helps, I have attached my dataset.
And the settings

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Comments
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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,
Lionel0 -
I have a similar question about infinite confidence.
supp(X ∪Y) = occurs(X ∪Y) / total_recordsconf(X implies Y) = supp(X ∪Y) / supp(X) .
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,
Igor0

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