We have a set of 40,000 data points representing customers of a TV streaming service. Each data point includes binary variables indicating whether or not the customer has watched each TV show that the streaming service provides.
The support of {Walking Dead} is 6000 customers, or 0.1500
The support of {Archer} is 3000 customers, or 0.0750
The support of {Walking Dead, Archer} is 900 customers, or 0.0225
Consider the association rule with Walking Dead as the premise, and Archer as the conclusion (“If Walking Dead, then Archer”).
What is the lift ratio of the association rule?
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We have a set of 40,000 data points representing customers of a TV streaming service. Each data...
We have a set of 40,000 data points representing customers of a TV streaming service. Each data point includes binary variables indicating whether or not the customer has watched each TV show that the streaming service provides. The support of {Walking Dead} is 6000 The support of {Archer} is 3000 The support of {Walking Dead, Archer} is 900 Consider the association rule with Walking Dead as the antecedent, and Archer as the consequent. What is the confidence of this association...