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Why confidence value is infinity?
kim_joa
Member Posts: 1 
Learner I
Learner I
I found some problem in FP-Growth operator.
The FP-growth has a parameter named "min items per itemset". It is set default value as 1.
In my process I set the value as greater than 1, in result I received some rules that confidence value is infinity.
I did so because I didn't need the itemsets of size 1.
I am sure there is no relation between confidence and that parameter value.
I think it might be bug.
I hope rapidminer developer to verify and to improve the problem.
thanks.
The FP-growth has a parameter named "min items per itemset". It is set default value as 1.
In my process I set the value as greater than 1, in result I received some rules that confidence value is infinity.
I did so because I didn't need the itemsets of size 1.
I am sure there is no relation between confidence and that parameter value.
I think it might be bug.
I hope rapidminer developer to verify and to improve the problem.
thanks.
Tagged:
0
Comments
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yyhuang Administrator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 364
RM Data Scientist
Confidence is support divided by another support. from wiki
if we mistakenly have supp(x)==0 the confidence for the association rule X=>Y will be inf.
It seams a bug to me.
@mschmitz may have some ideas https://github.com/rapidminer/rapidminer-5/blob/master/src/com/rapidminer/operator/learner/associations/AssociationRuleGenerator.java7 -
sgenzer Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 Community Manager
@yyhuang @kim_joa I'm happy to push this to Product Feedback but please note that the GitHub link you listed is from RapidMiner 5.x. Can you please confirm that the bug still exists with our most recent version? https://github.com/rapidminer/rapidminer-studio/blob/master/src/main/java/com/rapidminer/operator/learner/associations/AssociationRuleGenerator.java
Scott0 -
1
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The bug is still present in RM 9.60
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sgenzer Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 Community Manager
hi @IgorE yes we know the issue is still present in 9.6. That's why I wrote in the status that as of 9 Mar 2020 Engineering was still working on it. It will likely be addressed in 9.7 but I cannot promise anything. Please watch the status headers as that is always your best source of information.Scott0
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