Databricks Certified Machine Learning Professional — Question 31

A data scientist has developed a model to predict ice cream sales using the expected temperature and expected number of hours of sun in the day. However, the expected temperature is dropping beneath the range of the input variable on which the model was trained.
Which of the following types of drift is present in the above scenario?

Answer options

• A. Label drift
• B. None of these
• C. Concept drift
• D. Prediction drift
• E. Feature drift

Correct answer: E

Explanation

The correct answer is E, Feature drift, because the input variable, expected temperature, is now falling outside the range it was trained on, affecting the model's performance. Label drift refers to changes in the output variable's distribution, while concept drift signifies a shift in the underlying relationship between features and the target variable, neither of which apply here.