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https://issues.apache.org/jira/browse/SPARK-10697?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16359639#comment-16359639
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Sean Owen commented on SPARK-10697:
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Yes, I think it's OK to add. Go ahead and propose a PR.
Lift is confidence, normalized for the prior probability of observing the
antecedent at all. Yes it is the right tool when evaluating rules vs each other
for interest. It's a likelihood ratio.
Confidence is of interest when you know you have the antecedent (e.g. already
added those items to a basket) and want to know about consequents. There the
prior probability would be irrelevant.
You can compute lift from confidence but it's extra work and so does make some
sense to compute this along the way.
> Lift Calculation in Association Rule mining
> -------------------------------------------
>
> Key: SPARK-10697
> URL: https://issues.apache.org/jira/browse/SPARK-10697
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Yashwanth Kumar
> Priority: Minor
>
> Lift is to be calculated for Association rule mining in
> AssociationRules.scala under FPM.
> Lift is a measure of the performance of a Association rules.
> Adding lift will help to compare the model efficiency.
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