??? faq "How does DataRobot track drift?"
    For data drift, DataRobot tracks:

    * **Target drift**: DataRobot stores statistics about predictions to monitor how the distribution and values of the target change over time. As a baseline for comparing target distributions, DataRobot uses the distribution of predictions on the holdout.

    * **Feature drift**: DataRobot stores statistics about predictions to monitor how distributions and values of features change over time. As a baseline for comparing distributions of features:

        * For training datasets larger than 500 MB, DataRobot uses the distribution of a random sample of the training data.

        * For training datasets smaller than 500 MB, DataRobot uses the distribution of 100% of the training data.