Performance Tracking
Overview
The model performance tells us how well a model performs on its task. A poorly performing model can have significant business implications.
What is being tracked?
Performance metrics
Why is it being tracked?
Model performance tells us how well a model is doing on its task. A poorly performing model can have significant business implications.
The volume of decisions made on the basis of the predictions give visibility into the business impact of the model.
What steps should I take based on this information?
For changes in model performanceβagain, the best way to cross-verify the results is by checking the Data Drift Tab ). Once you confirm that the performance issue is not due to the data, you need to assess if the change in performance is due to temporary factors, or due to longer-lasting issues.
You can check if there are any lightweight changes you can make to help recover performanceβfor example, you could try modifying the decision threshold.
Retraining the model with the latest data and redeploying it is usually the solution that yields the best results, although it may be time-consuming and expensive.
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