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After you load the dataset in Weka, select the 'Associate' tab. By default, the Algorithm should be Apriori. (If not, then choose and select Apriori).

After you load the dataset in Weka, select the 'Associate' tab. By default, the Algorithm should be Apriori. (If not, then choose and select Apriori). Now select/click in the box after Apriori has been specified to see the settings and run Association Rules based on the following thresholds/specifications: LowerBound Min Support = 20% & Confidence = 75% For EACH model, describe your findings in terms of: a) How many top rules were generated in each model (i.e. for car = TRUE versus car = FALSE) b) Describe the largest item sets from the list of top rules c) What is the in your opinion? LARGEST ITEMSET(s) BEST Rule(s) Note: Confidence is listed under Metric Type. There are also other measures of evaluation provided.

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