Podcast
Questions and Answers
The confidence of the rule 'job_skilled ‐> credit_good' is 100%.
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.
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.
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.
The 'Lift' or 'Leverage' metrics are not used to evaluate the rules.
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The Association rules are discovered on the entire set of transactions.
The Association rules are discovered on the entire set of transactions.
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The confidence of the rules is computed after discovering the rules.
The confidence of the rules is computed after discovering the rules.
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The hold‐out data is used to discover the Association rules.
The hold‐out data is used to discover the Association rules.
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The Apriori algorithm is used to evaluate the rules.
The Apriori algorithm is used to evaluate the rules.
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The number of transactions used to discover the rules is 1500.
The number of transactions used to discover the rules is 1500.
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The support criterion is used to evaluate the rules.
The support criterion is used to evaluate the rules.
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