Load the vote arff dataset This is a real world dataset, which records the votes of 435 US congressmen on 16 issues The data was collected in the mid 80s Apply association rule mining to this dataset and try to generate ALL rules with a minimum confidence of 95 and minimum support of 40 (which means at least 40 of the 435 instances, which is 174, need to support the rules) How many rules can you generate in total that satisfy the above requirements Examine the above generated rules Among the rules that have exactly 100 confidence, which rule has the highest support Interprete this rule in your own words Examine the above generated rules Among the rules that have greater than 90 confidence, which rule has the highest support Interprete this rule in your own words It is interesting to see that none of the above rules involve Class republican What is your interpretation of this phenomenon

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Question: Load the vote.arff dataset. This is a real-world dataset, which records the votes of 435 US congressmen on 16 issues. The data was collected in

Load thevote.arffdataset. This is a real-world dataset, which records the votes of 435 US congressmen on 16 issues. The data was collected in the mid-80s.

Apply association rule mining to this dataset and try to generate ALL rules with a minimum confidence of 95% and minimum support of 40% (which means at least 40% of the 435 instances, which is 174, need to support the rules).

How many rules can you generate in total that satisfy the above requirements?
Examine the above-generated rules. Among the rules that haveexactly100%confidence, which rule has the highest support? Interprete this rule in your own words.
Examine the above-generated rules. Among the rules that havegreater than 90%confidence, which rule has the highest support? Interprete this rule in your own words.
It is interesting to see that none of the above rules involve Class=republican. What is your interpretation of this phenomenon?

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