def METHOD_NAME():
    # Arrange
    data = {'col1': [1, 1, 1, None, 1, 1, 1, 1, 1, 1, 1, 1, 1000]}
    dataset = Dataset(pd.DataFrame(data=data), cat_features=[])
    # Act
    result = OutlierSampleDetection(nearest_neighbors_percent=0.3).run(dataset)
    # Assert
    assert_that(result.value, has_item(greater_than(0.44)))
    assert_that(np.unique(result.value), has_length(2))