10 Questions
The confidence of the rule 'job_skilled ‐> credit_good' is 100%.
False
The domain expertise is not required to check the output of the rules.
False
The hold‐out data is used as the test set to evaluate the rules.
True
The 'Lift' or 'Leverage' metrics are not used to evaluate the rules.
False
The Association rules are discovered on the entire set of transactions.
False
The confidence of the rules is computed after discovering the rules.
True
The hold‐out data is used to discover the Association rules.
False
The Apriori algorithm is used to evaluate the rules.
False
The number of transactions used to discover the rules is 1500.
False
The support criterion is used to evaluate the rules.
False
Compute confidence and lift for association rules. Given a dataset of credit records, determine the relationships between attributes. Learn how to apply association rule mining techniques.
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