Watson OpenScale drift metrics

When you configure drift evaluations in Watson OpenScale, you can generate metrics that help you determine how well your model predicts outcomes over time.

You can view the results of your drift evaluations on the Insights dashboard in Watson OpenScale. To view results, you can select a model deployment tile and click the arrow in the Drift evaluation section to display a summary of drift metrics from your last evaluation. For more information, see Reviewing drift results.

Watson OpenScale calculates drift metrics by analyzing the behavior of your model and building its own model to predict whether your model generates accurate predictions for data points. This drift detection model processes payload data to identify the number of records that your model makes inaccurate predictions for and generates the predicted accuracy of your model.

Drift is supported for structured data only and does not support Python functions.