# Association Rules: Infinity for Lift and Confidence

Member, University Professor Posts: 80  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

• Moderator, RapidMiner Certified Analyst, Member Posts: 1,074   Unicorn
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
• 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.