Create custom feature lists in Workbench











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Create custom feature lists from multiple areas within a Workbench Use Case, allowing you to explore different subsets of your data. • Learn more at: • https://docs.datarobot.com/en/docs/wo... • https://docs.datarobot.com/en/docs/wo... • Take the next step: • https://www.datarobot.com/request-a-d... • https://www.datarobot.com/trial/ • Transcript: • 0:00: With feature lists, you can explore different subsets of features in your data. • 0:04: And while data robot automatically generates a variety of them for you, you can also create custom feature lists from multiple areas within a workbench use case, even using various insights to guide your decisions on the data explore page, create a feature list. • 0:18: After profiling your data and analyzing E D A one insights. • 0:23: Any experiment created afterwards will carry over the custom feature list you created on an experiments model leader board, create a feature list as part of analyzing model performance and refining insights from the experiment information window. • 0:37: Create new lists on the data or feature list tab select features for a list either by feature or using one of the bulk actions add by variable type based off of an existing list or by importance. • 0:50: You can also create impact based feature list. • 0:52: After calculating feature impact for a specific model focusing only on features that have the greatest impact based on your criteria on model performance. • 1:02: After creating a new list, use it to retrain a model or build a new model from the blueprint repository or for time series experiments from cluster insights. • 1:12: Create a new feature list to change the features displayed, helping you to explore the effect of alternate feature groupings. • 1:19: DataRobot allows you to easily choose the subset of features used for modeling before you start or while experimenting to ensure you are building the most accurate and insightful model for your use case. • Stay connected with DataRobot! • ► Blog: https://blog.datarobot.com/ • ► Community: https://community.datarobot.com/ • ► Twitter:   / datarobot   • ► LinkedIn:   / datarobot   • ► Facebook:   / datarobotinc   • ► Instagram:   / datarobot  

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