---
schema_version: "1"
id: 91b46b86f71d77ccc60c2dc5a4592ea6cf8724c54569528e6c4dd5a990dd6ed5
title: Model Evaluation Tab for Multiclass Classification Use Cases
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_model_evaluation_multiclass.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_model_evaluation_multiclass.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: d76918208ced53d92db6862a12ec68a67715da2d7b0dc70d1092fb142f6b0540
description: The Model Evaluation tab provides information about a model’s performance and cross-validation results.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Model Evaluation Tab for Multiclass Classification Use Cases

The Model Evaluation tab provides information about a model’s performance and cross-validation results.

![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.

In Performance, click **Model Evaluation**.

![Model Evaluation tab, showing predicted vs actual results](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_model_metrics_model_evaluation_multiclass.png)

For model evaluation details, click a subtab.

- **[Overall Performance Tab for Multiclass Classification Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_overall_multiclass.htm&release=264.0.0&type=5)**  
    The Overall Performance tab shows key metrics for model quality.
- **[Cross Validation Tab for Multiclass Classification Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_cross_validation_multiclass.htm&release=264.0.0&type=5)**  
    To test a model’s ability to make predictions, Einstein Discovery uses _k_\-fold cross-validation, a process that reduces sampling bias when validating a model. This tab summarizes the results of the cross-validation process for this model, as well as some of the underlying computational details.

#### See Also

- [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.")