The Describe tabs provide model building information and feature details:
|Blueprint||Provides a graphical representation of the data preprocessing and parameter settings via blueprint.||Blueprints can be DataRobot- or user-generated. For DataRobot blueprints, the structure is decided once (after the partitioning stage), taking the dataset, project options, and column metadata into account. Values of
|Coefficients||Provides, for select models, a visual representation of the most important variables and a coefficient export capability.||Training data|
|Constraints||Forces certain XGBoost models to learn only monotonic (always increasing or always decreasing) relationships between specific features and the target.||Training, Validation data|
|Data Quality Handling Report (Formerly Missing Values)||Provides transformation and imputation information for blueprints.||Training data|
|Eureqa Models||Provides access to model blueprints for Eureqa generalized additive models (GAM), regression models, and classification models.||The Pareto front uses the Eureqa validation set, a subset of DataRobot training. The plots shown for regression and classification models use validation data.|
|Log||Lists operation status results.||N/A|
|Model Info||Displays model information.||Training data|
|Rating Table||Provides access to an export of the model’s complete, validated parameters.||Training data|
Updated June 23, 2022
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