Modeler requires and uses a training and a test table. Typically, the training table contains 80% of the records, with the remaining 20% applied to the test table to validate the accuracy of the model.
The table structure for the Modeler profile table includes two required fields and any attributes applicable the model.
- entity reference
This profile table could be used to create an upgrade offer or churn prediction model for telecommunications customers.