What causes model drift in machine learning?

What causes model drift in machine learning?

Model drift occurs when the statistical properties of the target variable change over time, leading to decreased model performance.

Can you give me some examples of factors that contribute to model drift?

Sure! Factors include changes in data distribution, evolving user behavior, and external events like economic shifts.

How can I detect model drift in my applications?

You can detect model drift by monitoring model performance metrics, comparing predictions to actual outcomes, and using statistical tests.

What are some strategies to mitigate model drift?

Strategies include retraining models regularly, using adaptive learning techniques, and implementing feedback loops to update the model.