What does the lift ratio measure in the context of association rules? (Antecedent is left hand side itemset, Consequent is right hand side itemset)Group of answer choicesThe accuracy of the association between the antecedent and consequent in an association rule.The support of the antecedent and consequent in an association rule.The confidence of the antecedent and consequent in an association rule.The improvement of finding the consequent when the antecedent is known compared to random chance.
Question
What does the lift ratio measure in the context of association rules? (Antecedent is left hand side itemset, Consequent is right hand side itemset)Group of answer choicesThe accuracy of the association between the antecedent and consequent in an association rule.The support of the antecedent and consequent in an association rule.The confidence of the antecedent and consequent in an association rule.The improvement of finding the consequent when the antecedent is known compared to random chance.
Solution
The lift ratio in the context of association rules measures the improvement of finding the consequent when the antecedent is known compared to random chance.
Here's a step-by-step explanation:
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Association rules in data mining are if/then statements that help uncover relationships between seemingly unrelated data in a relational database or other information repository.
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An antecedent is an item found within the data. A consequent is an item that is found in combination with the antecedent.
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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.
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A lift of 1 means there is no association between the antecedent and consequent. A lift of greater than 1 means that the antecedent and consequent are more likely to be found together than would be expected if they were statistically independent. A lift of less than 1 implies that the two items are unlikely to be found together.
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Therefore, the lift ratio measures the improvement of finding the consequent when the antecedent is known compared to random chance.
Similar Questions
In data mining, what does the lift measure in association rules?Answer choicesSelect only one optionREVISITThe strength of the relationship between itemsThe support of an itemsetThe confidence of a ruleThe improvement of prediction over random guessing
calculate lift, leverage, and conviction of an association rule.
In a survey, the following data was collected.□ Among 5000 teenagers who wear jeans,o 3000 play on-line gameso 3750 eat chipso 2000 both play on-line games and eat chips□ Among another 5000 teenagers who do not wear jeans,o 3000 play on-line gameso 4000 eat chipso 2250 both play on-line games and eat chipsa) List ALL strong association rules having the form {item1, item2eat chips} with support15% and confidence50%.b) Compute the interest (lift ratio) of the strong association rules found in part (a).
Refer to the exhibit.In association rules, for itemsets X and Y, which expression defines leverage?abcd
Statement about comparison is which measurement level?Group of answer choicesNominalOrdinalIntervalRatio
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