Data Drift
Data drift is a change in the statistical distribution of a machine learning model's input data over time, which can degrade model performance even if the underlying relationship between inputs and outputs has not changed.
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Glossary Terms(4)
AI Bias
AI bias refers to systematic errors in a machine learning model's outputs that unfairly favor or disadvantage particular groups or outcomes, typically arising…
Feature Store
A feature store is a centralized data system that stores, manages, and serves the engineered features used to train and run machine learning models, ensuring c…
Model Drift
Model drift (also called concept drift) is the gradual decline in a machine learning model's predictive performance over time, occurring because the real-world…
Data Drift
Data drift is a change in the statistical distribution of a machine learning model's input data over time, which can degrade model performance even if the unde…