A company uses Einstein Discovery to identify factors that increase case resolution time. After training, the model shows that 'Case_Origin__c' has high importance. What action should the company take?
Trap 1: Remove the field from the model to reduce complexity.
Removing an important feature reduces model accuracy.
Trap 2: Create interaction terms between Case_Origin and other fields.
Einstein Discovery automatically detects interactions.
Trap 3: Increase the data quality threshold for Case_Origin records.
Data quality thresholds are set before training.
- A
Remove the field from the model to reduce complexity.
Why wrong: Removing an important feature reduces model accuracy.
- B
Create interaction terms between Case_Origin and other fields.
Why wrong: Einstein Discovery automatically detects interactions.
- C
Increase the data quality threshold for Case_Origin records.
Why wrong: Data quality thresholds are set before training.
- D
Investigate the categories within Case_Origin to understand their impact.
Understanding which origins cause delays helps in process improvement.