---
schema_version: "1"
id: 171c95bb60dbf3fd3e1c7aada72ca89a320747eed267bdc7c0265083c38321fa
title: Model Evaluation for Numeric 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_measure.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_model_evaluation_measure.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 19742ce60a45ca50f700fae36141d35eefe1a663eece90dfc680fc5f2ee064dd
description: The Model Evaluation tab provides information about a model’s performance, cross-validation results, and coefficient values.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Model Evaluation for Numeric Use Cases

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

![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.

## Navigate to Model Evaluation

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_overall_measure.png)

For model evaluation details, click a subtab.

- **[Overall Performance Tab for Numeric Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_overall_measure.htm&release=264.0.0&type=5)**  
    The Overall Performance tab shows metrics for key indicators and model quality.
- **[Cross Validation Tab for Numeric Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_cross_validation_measure.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.
- **[Coefficients Tab for Numeric Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_coefficients_measure.htm&release=264.0.0&type=5)**  
    A model uses coefficients to calculate a prediction for a specific observation. You can filter the list of coefficients and also download the data in a CSV file.
- **[Prediction Examination Tab for Numeric Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_prediction_examination_measure.htm&release=264.0.0&type=5)**  
    The Prediction Examination tab allows you to interact with the model metrics and see how they stack up against actual outcomes.

#### See Also

- [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.")