What is Drift?
Machine learning algorithms learn to make predictions or decisions by learning, from historical data, a model of the underlying process connecting inputs (a.k.a. features) and outputs (a.k.a. labels). If this process underlying the data remains unchanged throughout a model’s lifetime then its performance is likely to remain stable over time. However, if the process changes […]
