JagadishSivakumar / Association-Rule-Mining_Data-Science-Forum

Associate Rule Mining on groceries dataset for Data Science Forum 2023

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Association-Rule-Mining_Data-Science-Forum

Associate Rule Mining on groceries dataset for Data Science Forum 2023

Apriori Params:

  • Transactions: List of lists that contain the items in each transaction.

  • min_support: Minimum support of relations; means that the relation should be present in at least 3 transactions out of total transactions.

  • min_confidence: Minimum confidence of relations; means that the relation should be found true in at least 20% of the total transactions in which the antecedent is present.

  • min_lift: Minimum lift of relations; means that the relation should be at least 3 times more than the confidence.

  • min_length: Minimum number of items in the relation.

  • max_length: Maximum number of items in the relation.

Key Metrics

  • Confidence: Conditional probability of item B given A (i.e; number of times if 'x' is bought then 'y' is also bought together)

  • Support: Probability of an item A being bought (i.e; the number of times 'x' is bought divided by the total number of transactions)

  • Lift: Ratio of confidence to support (i.e; confidence/support). This is used to find the strength of the rule.

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Associate Rule Mining on groceries dataset for Data Science Forum 2023


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