---
schema_version: "1"
id: 338360d22d7a00958042c263ac5341d607d7f5c3e531d4e87c35b6836b3f6d41
title: Explore Bias in Multiclass Outcomes
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_insight_multiclass_bias.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_insight_multiclass_bias.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: a99c732f6f3a517e6f98275a12aa653b770d93f03ef753447cabe27a2073bf0c
description: Bias detection in multiclass models alerts you of the presence of bias so you can mitigate its distorting effects in your analysis.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Explore Bias in Multiclass Outcomes

Bias detection in multiclass models alerts you of the presence of bias so you can mitigate its distorting effects in your analysis.

1. Open a model that is associated with a multiclass classification use case. Select the variable displaying bias or click the **Review Alerts** button.
    
    ![Bias in a multiclass model](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_insight_multiclass_bias.png)
2. Review the [information](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_story_bias.htm&release=264.0.0&type=5 "Einstein Discovery helps you practice ethical use of AI by detecting bias in your data so that you can remove its distorting effects on your analysis and predictions. Bias indicates that variables are being treated unequally in your model.") displayed on the variable card.
    
    ![Insights for a multiclass model](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_insight_multiclass_bias_2.png)
    
      
    | # | Area | Description |
    | --- | --- | --- |
    | 1 | Disparate Impact | Data reflects discriminatory practices toward a particular demographic. Removing disparate impact from your model can produce more accountable and ethical models and, therefore, predictions that are fair and equitable. |
    | 2 | Proxy Variable | An explanatory variable that is highly correlated to another explanatory variable in relation to the outcome variable. |
    | 3 | All Classes | Use the All Classes dropdown menu to filter the chart to a specific value. |