Data Drift

Browse all content tagged with Data Drift

Glossary

Model Drift

Model drift, or model decay, refers to the decline in a machine learning model’s predictive performance over time due to changes in the real-world environment. Learn about the types, causes, detection methods, and solutions for model drift in AI and machine learning.

AI Machine Learning Data Science +3
• 8 min read

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