---
schema_version: "1"
id: 28e1f3681e007d124ec35b1daf2f5ab2752e797e358945e5e41452e0da066886
title: Prediction Examination Tab 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_prediction_examination_measure.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_prediction_examination_measure.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: cda770b0104edabce27cecc9580a30e8d770ea53baec666758fc5b3af79af087
description: The Prediction Examination tab allows you to interact with the model metrics and see how they stack up against actual outcomes.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Prediction Examination Tab for Numeric Use Cases

The Prediction Examination tab allows you to interact with the model metrics and see how they stack up against actual outcomes.

![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 the Prediction Examination Tab

In Performance, click **Prediction Examination**.

![Prediction Examination tab, showing data on examination of the training dataset and prediction details](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_prediction_examination_measure.png)

## Examination of the Training Dataset

The table displays a random sample of 100 rows of data (observations) in the CRM Analytics dataset used to train the model. Columns in the table represent columns in the dataset.

## Einstein Prediction Panel

Select a row in the table to display details about the prediction that the model generated for that observation.

 
| Metric | Description |
| --- | --- |
| **Predicted Outcome** | Outcome that the model predicted. |
| **Actual Outcome** | Outcome that actually occurred (observed). |
| **Top factors** | Features with the biggest contribution to the outcome. |

#### 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.")