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Multiclass Classification Use Cases
Multiclass classification solutions predict outcomes with 3–10 possible results, represented as text data.
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
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