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Market basket analysis, create association rules, results
Contributor II
This is my online retail data set with 100,000 examples.
This is my process with operators, Pre-processing to the left, then Discretize, Numerical to binomial, FP-Growth and Create Association Rules.
Executed, this is the process Results. I understand I can click on support, confidence or lift, high to low or low to high, and see different rankings for each row number. What do the different Ranges mean, and is Conclusion the same as Prediction?
This is my process with operators, Pre-processing to the left, then Discretize, Numerical to binomial, FP-Growth and Create Association Rules.
Executed, this is the process Results. I understand I can click on support, confidence or lift, high to low or low to high, and see different rankings for each row number. What do the different Ranges mean, and is Conclusion the same as Prediction?
0
Best Answer
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MartinLiebig
Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 
RM Data Scientist
Hi,you discretized your data. So range1 means the value of the attribute was between -infinity and 0.039.
For conclusion: Somewhat, yes. Its a bit of different nomenclature here. Maybe check out this article: https://community.rapidminer.com/discussion/32107/how-to-interpret-the-results-of-create-association-rules and the linked paper. It explains a lot.Cheers,Martin
- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany0
