---
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


---

# Remove others label

# Remove others label {#ariaid-title1}

* Release version: Xanadu
* 
* Updated July 31, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

Reduce noise in your classification model and enhance predictive accuracy by removing records with the label "others" from training data. These are records with a distribution frequency of under one percent.

## Before you begin

Role required: ml_admin or admin

## About this task

When this option is set to true, records under 1% of total data distribution are excluded from training. These records are labeled "others" in the interface. The 1% threshold can't be modified.

You can add this option in the solution definition form by using the following procedure. Alternatively, you can use a script to add this option.

To add this option using a script:  

    config.removeOthersLabel(true);

In JSON format:  

    {
        "remove_others_label": true
        }

## Procedure

1. To add this option in the solution definition form, navigate to AllPredictive IntelligenceClassificationSolution Definitions.
2. Open an existing classification solution or create a new one.
3. Select the Advanced Solution Settings tab in the Related Links section of the form.
4. Select New to open the Advanced Solution Setting (ml_advanced_solution_settings) form.
5. In the Solution Parameters field, search for <kbd class="ph userinput">Remove others label</kbd>, then select Submit to save your update.  

## Result

The setting appears as a row on the Advanced Solution Setting tab on your solution's form.

## What to do next

Retrain your solution.
**Related concepts**   

* [Using Machine Learning APIs](https://servicenow-prod.fluidtopics.net/EHS1Fcu4~oKNu64uPqPylA#using-ml-apis "Use ServiceNow Machine Learning (ML) APIs to train Machine Learning models and run inferences.")  
**Related tasks**   

* [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.")

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