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Parameters of the apriori

The apriori() algorithm requires some input arguments such as the minimum support threshold and confidence levels. It is important to figure out how sensitive the set of extracted rules is to these parameters. In this exercise, you will use the transactions of the Online retail dataset Online_trx and apply the apriori() algorithm with different values for the input parameters.

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.

# Apply the apriori function to the Online retail dataset
rules_online = apriori(Online_trx,
                    ___ = list(___ = 0.01, 
                               ___ = ___, 
                               minlen = 2))

# Inspect the first rules
inspect(head(___))
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