Drift Drill Down

Drill Down chart visualizes the difference in distribution over time between the training dataset of the deployed model and the datasets used to generate predictions in production.

Using the Drill Down tab, you can compare data drift heat maps across the features in a deployment to identify correlated drift trends. Users can select one or more features from the heat map to view a Feature Drift Comparison chart, comparing the change in a feature's data distribution between a reference time period and a comparison time period to visualize drift. This information helps you identify the cause of data drift in your deployed model, including data quality issues, changes in feature composition, or changes in the context of the target variable.