---
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


---

# Review classification solution statistics

# Review classification solution statistics {#ariaid-title1}

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

The Solution Statistics dashboard in Predictive Intelligence has been deprecated in the Xanadu release. It provided precision and coverage statistics for each class in a classification solution.

## Before you begin

* Role required: admin, ml_admin, or ml_report_user
{#review-solution-statistics__ul_kzv_fld_fbb}

## About this task

Important:  
With the Xanadu release, the Solution Statistics dashboard is deprecated. Upgrading customers can continue to use their existing Solutions Statistics dashboards from the application menu. For new customers onboarding with the Xanadu release, the Solutions Statistics dashboard is not available. The following information is provided for legacy context.The Solution Statistics dashboard lists the precision, coverage, and distribution for each class of active solutions. The system uses the classes with the highest number of records when it builds a solution. The number of classes predicted may be less than 50, and may skip a class if there is not enough historical data to build a solution that can predict the class confidently.

The Solution Statistics dashboard is different from the Solution Statistics tab in an ML Solution record. For more information, see [Create and train a classification solution](https://servicenow-prod.fluidtopics.net/78~nLudSwaZPxXTQ~5F0aA "Specify the records used to train a classification solution, what fields trigger a prediction, and how often you want to retrain your solution.").

## Procedure

1. Navigate to AllPredictive IntelligenceClassificationSolution Statistics.
2. From Filter by solution, select the solution whose statistics you want to review.
3. From Filter by version, select the solution version whose statistics you want to review.
4. Click Apply.  
   The system updates the dashboard based on the filters selected.  
5. Identify classes with unwanted combinations of precision, coverage, and distribution values.  
   For example, identify classes that have low precision or coverage but a high distribution.
6. Identify any missing classes you want the model to include.  
   For example, identify any missing incident categories from the Incident classification solution.

## What to do next

If you're satisfied with the solution you've reviewed, the latest version is already active and ready to use. If you're not satisfied, you can choose a different version of the solution and make it active. You can also tune and retune the solution by configuring the class precision and coverage to use acceptable values.

*[\>]: and then