Explanation Clustering in DataRobot

May 29, 2020
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· 1 min read

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Platform, data science, and more.

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.

WHITE PAPER
XEMP Prediction Explanations with DataRobot
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About the author
Linda Haviland
Linda Haviland

Community Manager

Meet Linda Haviland
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