Assess field-level accuracy for multi-output models
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- UpdatedAug 3, 2023
- 2 minutes to read
- Vancouver
- Task Intelligence
Evaluate the performance of your model by field.
Before you begin
Role required: admin
About this task
After you’ve created and tested your model, assess its performance to evaluate how well it's predicting what you want it to predict. For multi-output models that predict multiple fields, you may want to assess the performance of each field individually.
If you have not already created a model, see either Create a model to predict record fields or create an incident field model to make one.
Your model must be in Monitoring mode. You can set Monitoring mode on the Assess Your Model screen. For more details, see the Set your preferences step in Create a case field prediction model or Create an incident field prediction model.
Procedure
What to do next
If the accuracy of each field is acceptable, transition your model from monitoring mode to real-time predictions and deploy. If the accuracy of a field isn’t acceptable, you can remove that output field from your model, retrain, and deploy. See Edit a Task Intelligence model for more information on editing your model.