---
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


---

# Configure class recall for a classification solution

# Configure class recall for a classification solution {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 min. de leitura

Create and apply a class recall parameter to an ML solution prior to training its data. For example, you set and apply this solution parameter to 90% recall for all records in the Email class.

## Antes de Iniciar

Nota:  
Using advanced settings in your ML solutions is optional. If you choose to implement any of these settings, make sure you're well informed regarding the technology you're enabling in the solution, and that you have a use case that benefits from what the technology offers.

* Create and save a classification solution definition or use an existing one.
* Role required: admin or ml_admin
{#configure-class-recall-for-classification-solution__ul_clq_rxs_1kb}

## Por Que e Quando Desempenhar Esta Tarefa

The class recall solution parameter enables you to steer a solution's training to bias a specific class. For example, classifying an incoming email as a Phish or not can be an important use case in a security-related machine
learning solution. In this situation, it's very important to identify every Phish, and it may be acceptable to report a non-Phish as a Phish occasionally. However, no actual Phish should be classified as a non-Phish. In such
situations, the recall metric must have a high value to minimize false negatives. High recall values might lead to lower percentages for precision and
coverage.

You can apply a recall value to one class per solution definition.

## Procedimento

1. Navigate to AllPredictive IntelligenceClassificationSolution Definitions.
2. Open a saved classification solution definition form.  
   In this example scenario, you use an Incident Categorization solution definition form that you haven't trained yet.  
3. On the Advanced Solution Settings tab in the Related Links section of the form, select New.  
4. Create a parameter record.
   1. In the Solution Parameters field, select the search icon.
   2. In the ML Solution Parameters screen, select Add class recall value while training.  

   {#configure-class-recall-for-classification-solution__substeps_ow5_5tj_zjb}  
   The Advanced Solution Setting \[ml_advanced_solution_settings\] record appears.  
5. Add your values to the User inputs field, in the format <kbd class="ph userinput">ClassName:RecallValue</kbd>.
   1. Enter the name of the class for which you want to specify a recall value.  
      In this scenario, you enter <kbd class="ph userinput">Phish</kbd> for the ClassName.
   2. Enter a colon character (:), then the Recall value.  
      Enter <kbd class="ph userinput">95</kbd> for the RecallValue in the example scenario.

   {#configure-class-recall-for-classification-solution__substeps_gt3_kyp_bkb}  
   In other words you're specifying Phish as the target class, and 95 is the Recall percentage you're requesting the system to deliver during solution training (<kbd class="ph userinput">Phish:95</kbd>).  
6. Select Submit.  
   Result: Class recall is configured for your classification solution. Its solution parameter appears on the Advanced Solution Settings tab of your classification solution definition form.  

## O que Fazer Depois

Train your saved classification solution so that your updates are incorporated.
**Conceitos relacionados**   

* [Configuring target metrics for a trained classification solution](https://servicenow-prod.fluidtopics.net/96zjtwrxx5KRlphFCnE24g "Set values for precision, coverage, and recall statistics for a trained machine learning solution.")  
**Tarefas relacionadas**   

* [Create and train a classification solution](https://servicenow-prod.fluidtopics.net/xLGbLdMK5yW5QC6GrOAZBA "Specify the records used to train a classification solution, what fields trigger a prediction, and how often you want to retrain your solution.")
* [Configure TF-IDF for solutions](https://servicenow-prod.fluidtopics.net/Az7WkTO8CoP5HFaXxmiD8g "Apply Term Frequency–Inverse Document Frequency (TF-IDF) encoding to classification, clustering, or similarity solutions for Predictive Intelligence.")