Skip to content

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


After deploying a model and making predictions in production, monitoring model quality and performance over time is critical to ensure the model remains effective. This monitoring occurs on the Data drift and Accuracy tabs and requires processing large amounts of prediction data. Prediction data processing can be subject to delays or rate limiting. Track prediction processing progress on the Usage tab.

Prediction Tracking chart

On the left side of the Monitoring > Usage tab is the Prediction Tracking chart, a bar chart of the prediction processing status over the last 24 hours or 7 days, tracking the number of processed, missing association ID, and rate-limited prediction rows. Depending on the selected view (24-hour or 7-day), the histogram's bins are hour-by-hour or day-by-day.

Chart element Description
1 Select time period Selects the Last 24 hours or Last 7 days view.
2 Use log scaling Applies log scaling to the Prediction Tracking chart for deployments with more than 250,000 rows of predictions.
3 Time of Receiving Predictions Data
Displays the time range (by day or hour) represented by a bin, tracking the rows of prediction data received within that range. Predictions are timestamped when a prediction is received by the system for processing. This "time received" value is not equivalent to the timestamp in service health, data drift, and accuracy. For DataRobot prediction environments, this timestamp value can be slightly later than prediction timestamp. For agent deployments, the timestamp represents when the DataRobot API received the prediction data from the agent.
4 Row Count
Displays the number of prediction rows timestamped within a bin's time range (by day or hour).
5 Prediction processing categories Displays a bar chart tracking the status of prediction rows:
  • Processed: Tracked for drift and accuracy analysis.
  • Rate Limited: Not tracked because prediction processing exceeded the hourly rate limit.
  • Missing Association ID: Not tracked because the prediction rows don't include the association ID and drift tracking isn't enabled.

How does prediction rate limiting work?

The Usage tab displays the number of prediction rows subject to the monitoring rate limit of 100MB per hour. However, rate limiting only applies to prediction monitoring, all rows are included in the prediction results even after the rate limit is reached.

Large-scale monitoring prediction tracking

For a monitoring agent deployment, if you implement large-scale monitoring, the prediction rows won't appear in this bar chart; however, the Predictions Processing (Champion) delay will track the pre-aggregated data.

To view additional information on the Prediction Tracking chart, hover over a column to see the time range during which the prediction data was received and the number of rows that were Processed, Rate Limited, or Missing Association ID:

Prediction and actuals processing delay

On the right side of the Usage tab are the processing delays for Predictions Processing (Champion) and Actuals Processing (the delay in actuals processing is for all models in the deployment):

The Usage tab recalculates the processing delays without reloading the page. You can check the Updated value to determine when the delays were last updated.

Updated April 3, 2024