Which of the following describes label drift?
Which of the following describes label drift?
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.
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
The correct answer is E. Label drift is when there is a change in the distribution of a target variable
Label drift is caused by change of target variables