This section provides details into components of the functionality that makes up the model building process.
|Exploratory Data Analysis||Details of Exploratory Data Analysis (EDA), phases 1 and 2.|
|Data partitioning and validation||Describes validation types and data partitioning methods.|
|Modeling process details||Bits and pieces of the initial model building process.|
|Leaderboard reference||Components of the Leaderboard, blender models, and asterisked scores.|
|Model recommendation process||Steps involved in DataRobot's selection of a recommended model.|
|Sliced insights||View and compare insights based on segments of a project’s data.|
|SHAP reference||Details of SHapley Additive exPlanations, the coalitional game theory framework.|
|XEMP calculations||Describes the calculations used to determine XEMP qualitative strength.|
|Optimization metrics||Short descriptions of all metrics available for model building.|
|Generate AI Report||Create a report of modeling results and insights.|
|Export charts and data||Download created insights.|
|Worker Queue||Manage models and projects and export data.|
Updated June 30, 2023
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