What is support confidence and lift?

What is support confidence and lift?

Support says that 67% of customers purchased milk and cheese. Confidence is that 100% of the customers that bought milk also bought cheese. Lift represents the 28% increase in expectation that someone will buy cheese, when we know that they bought milk.

What is the meaning of lift in association rule mining?

In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against a random choice targeting model.

What is the lift value of an association rule?

Lift in an association rule The lift value is a measure of importance of a rule. By using rule filters, you can define the desired lift range in the settings. The lift value of an association rule is the ratio of the confidence of the rule and the expected confidence of the rule.

Which is a good rule for support and lift?

However, I just don’t know how to interpret rules with these indicators. I have rules with high support, high confidence and low lift, is that a good rule ? Since high confidence represents strong association and high support represents how convincing their association are. So high confidence + high support = good rule and we can ignore lift?

How to measure the strength of association rules?

To measure the strength of association rules, we’ll use an Apriori algorithm that consists of support, confidence, and lift ratio. Support. Support ratio is the frequency of the antecedent and/or consequent appearing together in the dataset. Support can be expressed as P (antecedent & consequent).

Which is a good rule for confidence and support?

Since high confidence represents strong association and high support represents how convincing their association are. So high confidence + high support = good rule and we can ignore lift? If I am going to order / rank my rules and pick, let say the best 10 to examine, which indicator should be chosen as the ranking variable?