Certified Machine Learning Professional Exam

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Question 17

Which of the following describes label drift?

Label drift is when there is a change in the distribution of the predicted target given by the model

None of these describe label drift

Label drift is when there is a change in the distribution of an input variable

Label drift is when there is a change in the relationship between input variables and target variables

Label drift is when there is a change in the distribution of a target variable

Correct Answer: E

Label drift occurs when there is a change in the distribution of the target variable. This means that the pattern or distribution of the outcomes that the model is predicting changes over time. This can lead to reduced accuracy as the model may no longer be well-calibrated to the new distribution of target outcomes.

Discussion

hugodscarvalhoOption: E

Label drift is when drift occurs in the label itself. Doc: https://docs.deepchecks.com/stable/tabular/auto_checks/train_test_validation/plot_label_drift.html

trendy01Option: E

Label drift is caused by change of target variables

BokNinjaOption: E

The correct answer is E. Label drift is when there is a change in the distribution of a target variable