How can I detect model drift in my machine learning models?

How can I detect model drift in my machine learning models?

Model drift can be detected by monitoring performance metrics over time and comparing them to baseline metrics.

What specific metrics should I monitor for model drift?

You should monitor metrics like accuracy, precision, recall, and F1 score, as well as input feature distributions.

Are there any tools that can help with detecting model drift?

Yes, tools like Evidently AI, Alibi Detect, and NannyML can help you monitor and detect model drift effectively.

How often should I check for model drift?

It's recommended to check for model drift regularly, such as weekly or monthly, depending on the model's application and data changes.