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

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    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Testing and monitoring predictions

# Testing and monitoring predictions {#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

Evaluate the coverage and precision of your machine-learning (ML) solutions by testing them. Once deployed, track their performance over time. Improve predictions by using performance information to refine your
solutions.

## Testing solutions {#testing-reviewing-ml-solutions__section_mjw_dxj_ntb}

After your ML solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. Use the API to test the following solutions:

* [Test a classification solution prediction](https://servicenow-prod.fluidtopics.net/scKgESFqFaJ_qWiFgD5Yuw "Once your machine-learning (ML) solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. In this example procedure, we use the REST API Explorer to test a classification solution prediction for incident categorization.")
* [Test a similarity solution prediction](https://servicenow-prod.fluidtopics.net/vR6WfckDI3fZFPMRpGRL8w "Once your machine-learning (ML) solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. In this example procedure, we use the REST API Explorer application to test a similarity solution prediction for resolved incident recommendations.")
{#testing-reviewing-ml-solutions__ul_vvw_cyj_ntb}

## Monitoring predictions {#testing-reviewing-ml-solutions__section_igj_fxj_ntb}

For classification predictions, use the Prediction Results dashboard to track the coverage and
precision of predictions over time.

To learn how, see [Track classification prediction results over time](https://servicenow-prod.fluidtopics.net/aIZ9qCAajJxs0xZzAh63pQ "Use the Prediction Results dashboard to determine if classification solution predictions are improving over time. Identify solutions that need refining or retraining.").

## Prediction troubleshooting {#testing-reviewing-ml-solutions__section_owf_zs1_ttb}

For troubleshooting common issues with solution predictions, see the [Predictive Intelligence Common issues \[KB781893\]](https://support.servicenow.com/nav_to.do?uri=/kb?id=kb_article_view&sysparm_article=KB0781893) article
in the Now Support
Knowledge Base.
* **[Test a classification solution prediction](https://servicenow-prod.fluidtopics.net/scKgESFqFaJ_qWiFgD5Yuw)**   
  Once your machine-learning (ML) solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. In this example procedure, we use the REST API Explorer to test a classification solution prediction for incident categorization.
* **[Test a similarity solution prediction](https://servicenow-prod.fluidtopics.net/vR6WfckDI3fZFPMRpGRL8w)**   
  Once your machine-learning (ML) solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. In this example procedure, we use the REST API Explorer application to test a similarity solution prediction for resolved incident recommendations.
* **[Track classification prediction results over time](https://servicenow-prod.fluidtopics.net/aIZ9qCAajJxs0xZzAh63pQ)**   
  Use the Prediction Results dashboard to determine if classification solution predictions are improving over time. Identify solutions that need refining or retraining.
* **[Reviewing prediction errors with the Observability Dashboard](https://servicenow-prod.fluidtopics.net/iajRaGmvqLx3Qadp~q43AA)**   
  The Observability Dashboard offers a unified view and actionable insights for errors detected in Predictive Intelligence. Use this dashboard to visualize logged errors and gain information on prediction reliability and potential problem areas.
* **[Predictive Intelligence Usage Analytics dashboard](https://servicenow-prod.fluidtopics.net/A~oU1AwCfXt~ndI9fzOJ7Q)**   
  The Predictive Intelligence Usage Analytics dashboard is a central location to understand the effectiveness and overall value of all your Predictive Intelligence solutions. View metrics for model training successes and failures. Monitor prediction statistics including breakdowns by individual model.