driftterm
Driftterm is a term used in various fields, most notably in statistics and machine learning, to describe a phenomenon where the statistical properties of a target variable change over time. This change can be gradual or sudden and can significantly impact the performance of predictive models that were trained on historical data.
In the context of machine learning, driftterm often refers to concept drift. This occurs when the relationship
Data drift is another related concept, where the distribution of the input features changes over time, even
Detecting and addressing driftterm is crucial for maintaining the reliability and accuracy of deployed models. Various