What is the primary goal of using the Apriori algorithm in market basket analysis?
Market Basket Analysis

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To reduce the cost of items
To improve customer service
To identify frequent item combinations
To increase the number of transactions
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in preparing data for the Apriori algorithm?
Generating association rules
Data preprocessing
Calculating lift
Setting minimum confidence
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which module is used to import the Apriori and association rules functions?
Pandas
NumPy
MLxtend
SciPy
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a minimum support of 30% indicate in the Apriori algorithm?
Items must appear in at least 30% of transactions to be considered frequent
Items must be purchased together 30% of the time
The algorithm will only consider 30% of the data
The confidence level is set to 30%
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a high lift value indicate in association rules?
Items are less likely to be bought together
Items are more likely to be bought together
The rule is not significant
The rule has low confidence
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which items were found to be highly correlated in the analysis?
Cookies and milk
Bread and butter
Eggs and butter
Milk and eggs
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What unexpected association was discovered in the analysis?
Cookies and milk
Cookies and bread
Eggs and butter
Milk and bread
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