Transition

Drift refers to a gradual change or deviation from an original state, significantly impacting data patterns and predictive model performance over time. Recognizing and addressing drift is potent for maintaining model accuracy and relevance. Additionally, drift can describe an impulsive shift in behavior or trends within a population, necessitating adaptive strategies to align with these explicit changes.