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On-premise users: click in-app to access the full platform documentation for your version of DataRobot.

NextGen experience > Registry > Models > View model insights

View model insights

On the Registry > Models tab, the Insights tab is available for DataRobot and custom models (not agent-monitored external models). The following insights are supported:

Insight Description Problem type Sliced insights?
Feature Impact Shows which features are driving model decisions. All ✔
Individual Prediction Explanations Estimates how much each feature contributes to a given prediction, with values based on difference from the average. Binary classification, regression ✔
SHAP Distributions: Per Feature Displays, via a violin plot, the distribution of SHAP values and feature values to aid in the analysis of how feature values influence predictions. Binary classification, regression ✔
Lift Chart Depicts how well a model segments the target population and how capable it is of predicting the target. All ✔
ROC Curve Provides tools for exploring classification, performance, and statistics related to a model. Binary classification ✔
Residuals Provides scatter plots and a histogram for understanding model predictive performance and validity. Regression ✔

Compute insights

When you first access the Insights tab for a registered model version, to view the table of predictions for the Individual Prediction Explanations insight and the violin chart for the SHAP Distributions: Per Feature insight, click Compute.

Updated March 19, 2025