What are some effective techniques for detecting data drift?

What are some effective techniques for detecting data drift?

There are several techniques for detecting data drift, including statistical tests, monitoring model performance, and using drift detection algorithms like Kolmogorov-Smirnov test or Population Stability Index.

Can you explain how the Kolmogorov-Smirnov test works?

Sure! The Kolmogorov-Smirnov test compares the cumulative distribution functions of two samples to determine if they come from the same distribution, which helps identify drift.

What are some signs that indicate data drift is occurring?

Signs of data drift include a significant drop in model accuracy, changes in feature distributions, and unexpected predictions.

How often should I check for data drift?

It's recommended to monitor for data drift regularly, such as after every model update or at set intervals, depending on the data's volatility.