During this learning session, you’ll learn about advanced techniques for using Prediction Explanations in DataRobot.
After demonstrating how to generate these explanations from DataRobot models, the pair focus on explanation clustering, a technique which has proven very useful for providing “supervised clustering” insights. DataRobot customers have been using this technique for several years and now, with this learning session, we are sharing our recommended approach for explanation clustering to the broader public.
Next Steps
After watching the learning session, you should check out these resources for more information.
- R Package for Prediction Explanation Clustering
- Python Package for Prediction Explanation Clustering
- DataRobot: Prediction Explanations
- DataRobot public documentation: Prediction Explanations
Demo
Book a demo with our experts
Learn how your team can develop, deliver, and govern AI apps and AI agents with DataRobot.
Authors
May 29, 2020
| 1 min read
Latest Posts
AI for Practitioners
Industry-standard LLM benchmarks in DataRobot
May 27, 2026
| 8 min read
Read More
Inside the Product
A practical guide for platform teams managing shared AI deployments
May 22, 2026
| 8 min read
Read More
AI for Practitioners
DataRobot for Developers: Skills in Cursor, Gemini, and Claude
May 21, 2026
| 4 min read
Read More
Realize Value from AI, Fast.
Get Started Today.
Get Started Today.