Concept Drift
Concept drift is the phenomenon where the statistical relationship between a model's input features and its target output changes over time, causing a previously accurate model to become less reliable.
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Glossary Terms(5)
AUC Score
The AUC score, or Area Under the ROC Curve, is a classification evaluation metric that measures how well a model distinguishes between positive and negative cl…
Human-in-the-Loop
Human-in-the-loop (HITL) is a machine learning design pattern in which human judgment is deliberately incorporated into a model's training, evaluation, or infe…
Model Serving
Model serving is the process of deploying a trained machine learning model so it can receive input data and return predictions in a production environment, typ…
Model Monitoring
Model monitoring is the ongoing practice of tracking a deployed machine learning model's performance, input data characteristics, and predictions in production…
Concept Drift
Concept drift is the phenomenon where the statistical relationship between a model's input features and its target output changes over time, causing a previous…