Best Practices for Setting Up a DataRobot Project

April 4, 2020
by
· 1 min read

You have uploaded your dataset and are ready to start Autopilot. There are a few best practices at this stage that can help you to avoid common modeling pitfalls.

Join our customer facing data scientists to learn:

  • How to set up a correct partitioning method depending on your dataset and machine learning problem.
  • Which optimization metric to choose depending on your target and how your predictions will be consumed.

What’s Next?

Visit DataRobot’s public documentation portal and navigate to the Partitioning and Model Validation section for more information.

Questions?

Visit the DataRobot Community now to browse discussions and ask questions about DataRobot, AI Cloud, data science, and more.

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About the author
Linda Haviland
Linda Haviland

Community Manager

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