1. Machine Learning for SQL Use Cases
  2. Concepts
  3. Machine Learning Algorithms
  4. About Apriori
  5. Evaluating Association Rules

Evaluating Association Rules

Evaluate association rules by using support and confidence.

Minimum support and confidence are used to influence the build of an association model. Support and confidence are also the primary metrics for evaluating the quality of the rules generated by the model. Additionally, Oracle Machine Learning for SQL supports lift for association rules. These statistical measures can be used to rank the rules and hence the usefulness of the predictions.