Final answer:
Concept Drift refers to the scenario where a predictive model becomes less relevant due to rapid and unforeseen changes in the environment it was designed to predict, leading to inaccurate results and potentially obsolete models.
Step-by-step explanation:
If the environment changes very rapidly and is very different from when the predictive model was built, then the predictive model may not be very relevant anymore. This scenario is referred to as Concept Drift. Concept Drift occurs when the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This can happen when there are sudden and significant environmental changes, such as natural disasters or rapid human-induced changes affecting an ecosystem. As ecosystems are dynamic and subject to both abiotic and biotic disturbances, a predictive model must be able to adapt to the shifting equilibrium states of the ecosystem's components. Failure to do so can lead to inaccurate predictions and models that may become obsolete due to their inability to accommodate the new environmental conditions or to reflect the current state of the ecosystem.