---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Run a multi-model batch test

# Run a multi-model batch test {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Test multiple Natural Language Understanding (NLU) models against a test set. Evaluate
the quality of your models and refine them to improve intent prediction.

## Antes de Iniciar

* Make sure that the NLU Workbench - Core plugin, NLU Workbench plugin, NLU Workbench - Advanced Features plugin and Predictive Intelligence plugin are all installed and activated.
* Have one or more trained models for Virtual Agent or AI Search.
* Have a test set containing test utterances with expected intents. See [Create a test set](https://servicenow-prod.fluidtopics.net/~9mWgyApPmN4DH4Q4Q1czg "To create or add to an NLU test set, you can upload a file of test utterances matched with correct intents. Use the test set to assess the performance of your model.") or [Test set creation and management](https://servicenow-prod.fluidtopics.net/WacY_xcSz2_eyKswVGmsBA "Use the default test set of your NLU model to test the model's performance and accuracy. Manage your test set over time by building or updating its content in the NLU Workbench.").
* Role required: nlu_admin or admin. When assigned to a model, the nlu_editor role can run tests and modify test utterances for that model.
{#run-batch-test__ul_hbx_rzc_wrb}

## Por Que e Quando Desempenhar Esta Tarefa

In Multi-model Batch Testing, you can use a test set that is
not the model's default test set.

Also, you can test up to ten models at one time using Multi-model Batch Testing. However, tests with fewer models run more quickly.

When testing multiple models, your test set must cover at least 25% of the total
intents of all the models. Use test sets that contain utterances the models are
likely to encounter in Virtual Agent or AI Search.  
Nota:  
If an expected intent in your test set doesn't match any intent in your models, that expected intent and its test utterances are skipped. They aren't counted or displayed in test results.

To test a single model against its default test set, use the Test and publish your model phase on the model's overview page. For more
information, see [Test and publish your model](https://servicenow-prod.fluidtopics.net/rrdVPR_y92_hfkDj4G3CgQ "Assess the performance of your NLU model to identify areas for improvement. Then publish your model to make it available to other applications such as Virtual Agent.").

## Procedimento

1. Navigate to AllNLU WorkbenchNLU Advanced FeaturesMulti-model Batch Testing.
2. Click Run a test.
3. In the Run new batch test window, select your models from the list.  
4. Select a test set from the list.
5. Click Run.  
   Your new test shows in the Test results list with a Testing... Status.

## O que Fazer Depois

When the batch test is finished, its Status changes to Done.
You can click the name of the test set to view the test results.

Use the results to adjust and improve your models. Then, run the test again to assess
the performance.

Batch testing may affect confidence threshold recommendations. For more information,
see [NLU model settings](https://servicenow-prod.fluidtopics.net/urfHZKYwF9qj3QWMWFz_qg "Change your NLU model's name, description, or confidence threshold on the Settings page of the model overview.").