---
schema_version: "1"
id: 6eea94afb8663e9414d5a203d73b9fc53aeac49076b81f90e1374edd714e8455
title: Overview Tab for Binary 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_overview_category.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_overview_category.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 486f0026d0e53cbc32408682ac4133072d04de93c9e10dc188ed0a1b3c9cd2a5
description: The Overview tab shows an at-a-glance summary of your model’s quality.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Overview Tab for Binary Classification Use Cases

The Overview tab shows an at-a-glance summary of your model’s quality.

![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 Overview Tab

In Performance, click **Overview**.

![Overview tab, showing sections on path to deployment and training data](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_overview_category.png)

## Path to Deployment

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
        <colgroup>
          <col style="width:19.193857965451055%">
          <col style="width:80.80614203454894%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d165847e66">Area</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d165847e69">Description</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="Area" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e66 ">
              <strong class="uicontrol">Review Model
                Accuracy</strong>
            </td>

            <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e69 ">AUC (Area Under the Curve) represents the rate of
              correct classification by a logistic model. An AUC
              of 0.5 means that the model performs no better than
              random guessing. An AUC of 1.0 means that the model
              correctly classifies data 100% of the time, which
              can indicate data leakage. Click <strong class="uicontrol">View
                Model Evaluation</strong> to see the <a href="https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_model_evaluation_category.htm&amp;release=264.0.0&amp;type=5" title="The Model Evaluation tab provides information about a model's performance, gains and lift, cross-validation results, and coefficient values.">Model Evaluation Tab for Binary Classification Use Cases</a>.</td>

          </tr>
          <tr class="">
            <td data-label="Area" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e66 ">
              <strong class="uicontrol">Set a Threshold</strong>
            </td>

            <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e69 ">Shows the current threshold of the model. Click
              <strong class="uicontrol">View Threshold Evaluation</strong>
              to go to the <a href="https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_threshold_evaluation_category.htm&amp;release=264.0.0&amp;type=5" title="Threshold Evaluation helps you optimize the threshold value for a model. The threshold value tells your model how to classify a binary outcome. If the calculated probability is above the threshold value, Einstein classifies the outcome one way (such as True or Positive). If the calculated probability is below the threshold value, Einstein classifies the outcome the other way (such as False or Negative).">Threshold Evaluation for Binary Classification Use Cases</a>.
            </td>

          </tr>
          <tr class="">
            <td data-label="Area" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e66 ">
              <strong class="uicontrol">Assess Deployment
                Readiness</strong>
            </td>

            <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d165847e69 ">
              <p>Summarizes the results of quality tests on the
                training data, certain model metrics, and validation.</p>
              <ul>
                <li><strong class="uicontrol">Model quality check</strong>:
                  Indicates whether issues exist.</li>
                <li><strong class="uicontrol">Data Alerts</strong>: Indicates
                  the number of unresolved data issues associated
                  with this model.</li>
              </ul>
              <p style="margin-bottom:0;">Click <strong class="uicontrol">View All Alerts</strong> to
                <a href="https://help.salesforce.com/s/articleView?id=analytics.bi_edd_quality_alert.htm&amp;release=264.0.0&amp;type=5" title="Einstein Discovery displays quality alerts when it detects issues in your training data, your model’s quality metrics, or during cross-validation.">Handle Quality Alerts</a>.
              </p>
            </td>

          </tr>
        </tbody>
      </table>

## Training Data and the Model

 
| Area | Description |
| --- | --- |
| **Distribution of Outcome Variable** | Shows the distribution of values (count and range) for the outcome variable in the training data. |
| **Top Predictors** | Lists the top predictors (explanatory variables) for this model and their correlation with the outcome variable. |

#### See Also

- [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.")