---
schema_version: "1"
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title: Evaluate Model Quality
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_model_metrics.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 1df4231c1a9d6986020016a2a7461c4c0894a4023c5c854c4f943f8a25e73e82
description: Model performance metrics reveal quality measures and associated details for a model. Use model performance to evaluate a model's ability to predict an outcome. When ready, you then deploy a model to Salesforce to predict outcomes in production.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Evaluate Model Quality

Model performance metrics reveal quality measures and associated details for a model. Use model performance to evaluate a model's ability to predict an outcome. When ready, you then deploy a model to Salesforce to predict outcomes in production.

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png)

Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

To view model performance, on the Model sidebar, click **Performance**. The metrics that are visible in Performance depend on the use case (binary classification, numeric, or multiclass classification) for the outcome variable in your model.

- **[Metrics for Numeric Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_measure.htm&release=264.0.0&type=5)**  
    The numeric use case is based on outcomes that are numeric variables. Model Performance shows quality statistics associated with linear regression models.
- **[Metrics for Binary Classification Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_category.htm&release=264.0.0&type=5)**  
    The binary classification use case is based on text (categorical) variables with binary outcomes. Model Performance shows quality statistics associated with logistic regression models.
- **[Metrics for Multiclass Classification Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_multiclass.htm&release=264.0.0&type=5)**  
    The multiclass classification use case is based on categorical variables with 3–10 possible outcomes. The Model Metrics tabs show quality statistics associated with multiclass models.