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Confidence and lift measures

You are now ready to calculate the confidence and lift measures for different rules. This will enable you to get a feeling for the likelihood and the degree of confidence of various association rules.

You need to make sure to only look at the first few records of extracted rules as the number of rules can be very large. Having the possibility of sorting rules according to a specific metric is definitely a must.

The transactional object Online_trx is loaded in the workspace.

This exercise is part of the course

Market Basket Analysis in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Call the apriori function with apropriate parameters
rules_all = apriori(___,
                      ___ = list(___=0.01, conf = ___)
)
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