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https://stats.stackexchange.com/questions/229523/association-rules-support-confidence-and-lift
It depends on your task. But usually you want all three to be high. high support: should apply to a large amount of cases; high confidence: should be correct often; high lift: indicates it is not just a coincidence; Consider e.g. "rain" and "day".
https://www.researchgate.net/publication/233754781_Support_vs_Confidence_in_Association_Rule_Algorithms
have extremely high confidence but with little or no support. Correlated algorithms have three stages: compute signatures, gene rate candidates, and prune candidates (Cohen et al., 2001).
https://www.academia.edu/648890/Support_vs_Confidence_in_Association_Rule_Algorithms
The discovery of interesting association relationships among large amounts of business transactions is currently vital for making appropriate business decisions. There are currently a variety of algorithms to discover association rules. Some of these
https://csucidatamining.weebly.com/assign-7.html
Support = 2/5 = 40% Confidence = 2/4 = 50% Such rule can be interesting besides the fact that both products are liquid that can be consumed, although one is a healthy drink well the other is a high sugar drink. (c) A rule that has low support and low confidence. X = Bread Y = Eggs {Bread} → {Eggs} Support = 1/5 = 20% Confidence = ¼ = 25%
https://www.psychologytoday.com/us/blog/shyness-is-nice/201812/5-reasons-people-have-low-self-confidence
Low self-confidence is not your fault, and understanding the causes is the first step in boosting it. ... Find a Support Group; ... It’s high time we put the most enduring myths about human ...
https://stackoverflow.com/questions/18589186/how-to-calculate-support-confidence-and-lift-for-merged-itemsets-like-a-b-c
But I don't know how to calculate support, confidence and lift of every rule. Is this the sum/count or is this the minimum of all similar itemsets? For the support the minsupport of all similar sets make sense. But Confidence and lift?
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