def METHOD_NAME(drifted_regression_label):
    # Arrange
    train, test = drifted_regression_label
    check = LabelDrift(categorical_drift_method='PSI', numerical_drift_method='EMD')
    # Act
    result = check.run(train, test)
    # Assert
    assert_that(result.reduce_output(), has_entries(
        {'Label Drift Score': close_to(0.34, 0.01)}
    ))
    assert_that(check.greater_is_better(), equal_to(False))