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title: Binary Classification Use Case
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_about_use_case_binary.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_about_use_case_binary.htm&release=264.0.0&type=5
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content_type: documentation
content_hash: 2e6e9455f1b5bb5a3638bb5e1eaf8c6595975aaec358c6e8baff626ecee5de3e
description: Binary classification solutions target business outcomes with only two possible results, which are represented as text data.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Binary Classification Use Case

Binary classification solutions target business outcomes with only two possible results, which are represented as text data.

![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.

## Binary Outcomes

These outcomes are typically yes/no questions that are expressed in business terms, such as churned or not churned, opportunity won or lost, employee retained or not retained, and so on. For analysis purposes, Einstein Discovery converts the two values into boolean true and false.

## Example Binary Classification Solutions

Here are just a few examples of how Einstein Discovery can help you improve binary classification outcomes in your organization:

- Predict the probability to win an Opportunity
- Predict the probability for an Account to buy a specific Product
- Predict the probability a Lead converts
- Predict the probability an Account churns

## Model Template

[Maximize Win Rate Model Template](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_template_maximize_win_rate.htm&release=264.0.0&type=5 "Explore the key drivers for winning deals without the hassle of prepping your data.")

## Supported Algorithms for Binary Classification Solutions

- Generalized Linear Model (GLM) - Logistic Regression
- XGBoost
- Gradient Boost Machine (GBM)
- Random Forest

## Model Quality Metrics

[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.")