---
sourceDocument: Xanadu Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/xanadu/intelligent-experiences

 Release :

    - xanadu

ft:locale :

    - en-US

ft:publication_title :

    - Xanadu Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Tune a trained classification solution

# Tune a trained classification solution {#ariaid-title1}

* Release version: Xanadu
* 
* Updated August 1, 2024
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Tune the performance of a trained classification solution by configuring class level precision and coverage values.

## Before you begin

* Train the solution definition whose output field values you want to configure.
* Role required: admin or ml_admin
{#configure-class-precision-coverage__ul_mbz_ykf_bbb}

## About this task

The system creates a class record for each output field value that it
can predict. Each class record includes a list of possible precision and coverage
combinations to choose from. By default, solutions use the highest combination of
precision and coverage available. You can select another combination to refine
predictions based on acceptable precision and coverage values.

## Procedure

1. Navigate to AllPredictive IntelligenceClassificationSolutions.  
   The system shows the list of available solutions.
2. Select the solution whose classes you want to configure.  
   This solution must have a State of Solution Complete.  
   The system shows the Solution record.
3. From the Class Confidence related list, select the class you want to configure.  
   The solution only lists output field values for which it can make predictions. If the output field value is missing from this list, update the solution definition filter to provide more data for this output field value, and retrain the solution.  
   The system shows the Class Confidence record.
4. Review the precision and coverage combinations available from the Precision Coverage Lookups embedded list.
5. Select the check box for the precision and coverage combination you want to use to make predictions for this class.  
   You can only select one check box. Some combinations produce special
   prediction results.  
   {#configure-class-precision-coverage__table_bht_qsf_bbb__entry__3}

   | Prediction result | Precision | Coverage |
   |-|-|-|
   | Never include class in predictions | 100 | 0 |
   | Always include class in predictions | 0 | 100 |
   [Table 1. Special prediction combinations]

   {#configure-class-precision-coverage__table_bht_qsf_bbb}
6. From the Actions on selected rows control, select Apply Values.  
   The system shows a Precision / Coverage Setting confirmation window.
7. Click OK to confirm the change or Cancel to discard it.

## What to do next

Test predictions for this class to verify that the system produces acceptable results.

*[\>]: and then