Practice - Key Metrics for Evaluating Association Rules
Practice Questions
Test your understanding with targeted questions
What is support in association rule mining?
💡 Hint: Think about the proportion of transactions containing the itemset.
Define confidence in the context of association rules.
💡 Hint: Consider it a measure of reliability for the rule.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does support measure in association rule mining?
💡 Hint: Think about the basic definitions in association rule mining.
True or False: A high confidence value for an association rule indicates a meaningful relationship.
💡 Hint: Consider the definition of confidence carefully.
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Challenge Problems
Push your limits with advanced challenges
Propose a new itemset {X, Y} that you suspect could have high lift based on variations in transaction data. Describe how you would test for support, confidence, and lift analytically.
💡 Hint: Reference the forms and relationships defined for support, confidence, and lift across your testing groups.
If a grocery store has the following transactions: [ {Milk, Bread}, {Bread, Butter}, {Milk, Butter}, {Milk, Bread, Butter}, {Bread}]. Calculate support, confidence, and lift for the rule {Milk} ➔ {Butter}. What can you derive?
💡 Hint: Pay attention to how each metric defines relevance individually and in context.
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