Press "Enter" to skip to content

Observing and Correcting Types of Model Drift

Tori Tompkins has a category for us:

Model drift refers to the decline of model performance due to changes in data and relationships. Most drift is caused by things entirely out of our control so while we can’t stop it from happening, we can identify and mitigate it.

Click through for four common explanations for model drift and what you can do about them.