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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

0

## Comments

1,195UnicornUnfortunately, 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

4Learner Iconf(X implies Y) = supp(X ∪Y) / supp(X) .supp(X ∪Y) = occurs(X ∪Y) / total_recordssupp(X) = occurs(X) / total_recordsso (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