Unit U4.1 · embed after: the Apriori algorithm and worked examples

Association Rules - support, confidence, lift with the full YoursMart baskets

Data Science & Big Data Analytics • ITec4121 • Wolkite University • Online-First

Twenty YoursMart-type market-basket transactions. Compute support, confidence and lift for any rule, inspect the frequency table of all seven items, then filter the top rules with live support / confidence / lift threshold sliders and a top-K selector - the exact quantities the course evaluates (Support = |A∪B|/N, Lift ≥ 1 interpretation).

Transactions (20 baskets)

Rule explorer

A (antecedent) B (consequent)

Item frequencies & filtered top rules

Frequency table

Top rules by lift (filtered) min sup 0.00 min conf 0.00 min lift 1.0 top K

Lift > 1 ⇒ the pair co-occurs more than chance; = 1 ⇒ independent (no gain even if confidence = 1); < 1 ⇒ negative.