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

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

Data drift can be detected by monitoring model performance metrics and comparing them over time.

What specific metrics should I monitor for data drift?

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

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

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

How often should I check for data drift?

It's recommended to check for data drift regularly, such as weekly or monthly, depending on your data's volatility.