Databricks Certified Machine Learning Professional — Question 24

Which of the following describes label drift?

Answer options

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

Correct answer: E

Explanation

The correct answer is E because label drift specifically refers to changes in the distribution of the target variable over time. Options A, C, and D describe other forms of data drift or changes in relationships but do not accurately capture the essence of label drift. Option B is incorrect as option E does provide a valid description of label drift.