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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Support in Association Rule Mining.
💡 Hint: Think about how often an itemset shows up in transactions.
Question 2
Easy
What does Confidence measure in an association rule?
💡 Hint: Consider it as the reliability of the rule.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the purpose of Support in Association Rule Mining?
- A measure of transaction size
- A measure of frequency of an itemset
- A measure of rule strength
💡 Hint: Think about how frequently itemsets show up in your transactions.
Question 2
True or False: A Lift value of less than 1 indicates a positive association between items.
- True
- False
💡 Hint: Recall what Lift tells us about the strength of association.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a dataset containing transactions with items: [['milk', 'bread', 'butter'], ['milk', 'sugar'], ['bread', 'butter'], ['milk', 'bread', 'sugar', 'eggs']]. Apply the Apriori algorithm to find all frequent itemsets with a minimum support threshold of 0.5.
💡 Hint: Keep track of counts and ensure to apply the prune step effectively.
Question 2
If you have a rule A⟹B with Support = 0.6, Confidence = 0.8, and Lift = 1.2, explain the implications of these values.
💡 Hint: Think in terms of how likely the association is compared to independent occurrence.
Challenge and get performance evaluation