databricks · Certified-Machine-Learning-Professional · Q424 · multiple_choice · topic_1

Which of the following describes concept drift?

A.Concept drift is when there is a change in the distribution of an input variable
B.Concept drift is when there is a change in the distribution of a target variable
C.Concept drift is when there is a change in the relationship between input variables and target variables
D.Concept drift is when there is a change in the distribution of the predicted target given by the model
E.None of these describe Concept drift

Explanation

C. Concept drift is when there is a change in the relationship between input variables and target variables. Concept drift refers to the situation when the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes the model to become less accurate as time passes.

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