"Zeyi Wen" <ze*i*w*[email protected]*a*e*u*a*> wrote:
> You can use confidence instead of lift.
> For the second problem, you can (1) set a very small confidence threshold and a very large > number of rules (e.g. 1000), and then search for the rules you like; (2) construct a data set > only having income>50k and do the rule mining, where you will have 100% confidence and you can > use support to rank the rules; (3) balance the data sets, so that both income>50k and > income<=50 have similar number of instances, and perform the rule mining.
> Any of the above three approaches is fine.
Thank you for your help Zeyi.
Having taken approach (2), should we just use the minsupport that we get from Apriori to justify
interestingness when confidence is 100%? As well as, I find if I use lift, it tends to give me more
than one attribute on the right hand side but still includes income bracket >50K, would this still
be ok to interpret as patterns for income bracket?
Can we choose whether we want to use confidence or lift? (all 4)