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Modeling details

This section provides details into components of the functionality that makes up the model building process.

Topic Describes...
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.
Optimization metrics Short descriptions of all metrics available for model building.
SHAP reference Details of SHapley Additive exPlanations, the coalitional game theory framework.
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.
XEMP calculations Describes the calculations used to determine XEMP qualitative strength.

Updated April 12, 2022
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