def METHOD_NAME(drifted_data):
    # Arrange
    train_ds, test_ds = drifted_data
    check = MultivariateDrift()
    # Act
    result = check.run(train_ds, test_ds)
    # Assert
    assert_that(result.value, has_entries({
        'domain_classifier_auc': close_to(0.93, 0.001),
        'domain_classifier_drift_score': close_to(0.86, 0.01),
        'domain_classifier_feature_importance': has_entries(
            {'categorical_without_drift': close_to(0, 0.02),
             'numeric_without_drift': close_to(0, 0.02),
             'categorical_with_drift': close_to(0, 0.02),
             'numeric_with_drift': close_to(1, 0.02)
             }
        ),
    }))
    assert_that(result.display, has_length(greater_than(0)))