Minitab Model Ops displays model drift on the Drift report.

Drift report details

Minitab Model Ops displays the Drift report for the deployed champion model on the Performance tab.

When a deployment is paused, you can upload baseline data, but not production data. You must have at least ten observations of baseline data to generate a chart of baseline data and at least ten observations of production data to generate a chart of production data. For information on uploading data and data requirements, go to the following topics.
Once you have baseline and production data for your model, you can select the production period and date range for your report.
You can open the expander for each variable to view more information.
Note

The Drift Over Time plot will not display historical data for a variable when the variable is no longer in the deployment.

Types of model drift

Drift measures the similarity between your baseline data and the production data. Use differences between the baseline data and the production data to determine when to try to improve your model. Minitab Model Ops reports prediction drift and data drift.
Prediction drift
This type of drift represents a drift in the model's predictions over time. When this drift is substantial, you may want to retrain the model with additional data or replace the model.
Data drift
This type of drift represents a change in the distribution of the input variables. When this drift is substantial, you may want to retrain the model with additional data.

If there is enough production data to determine the drift status, the drift status is minimal, moderate, or severe, according to the definitions in the Settings tab.

Examine drift reports

The tutorial has examples of drift reports with baseline data only, minimal drift, and moderate and severe drift. To see these examples, go to Examine drift reports.