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title: Multiclass Classification Use Cases
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locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_about_use_case_multiclass.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_about_use_case_multiclass.htm&release=264.0.0&type=5
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description: Multiclass classification solutions predict outcomes with 3–10 possible results, represented as text data.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Multiclass Classification Use Cases

Multiclass classification solutions predict outcomes with 3–10 possible results, 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.

## Example Multiclass Classification Solutions

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

- Predict the most likely up-sell / cross-sell for an opportunity
- Predict the most likely next phase for an opportunity
- Predict the most likely case reason
- Predict the most likely account segment

## Supported Algorithms for Multiclass Classification Solutions

- XGBoost
- Gradient Boost Machine (GBM)
- Random Forest

## Model Quality Metrics

[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.")