def METHOD_NAME(iris_clean):
    x = iris_clean.data
    y = iris_clean.target
    x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=55)
    train_dataset = Dataset(pd.concat([x_train, y_train], axis=1),
                            features=iris_clean.feature_names,
                            label='target')
    test_df = pd.concat([x_test, y_test], axis=1)
    bad_test = test_df.append(train_dataset.data.iloc[[0, 1, 2, 3, 4]], ignore_index=True)
    test_dataset = Dataset(bad_test,
                           features=iris_clean.feature_names,
                           label='target')
    # Arrange
    check = TrainTestSamplesMix(n_to_show=2)
    # Act X
    result = check.run(test_dataset=test_dataset, train_dataset=train_dataset)
    # Assert
    assert len(result.display[1]) == 2