code: def dataset(request):
      """
      Creates a random multiclass classification dataset fixture
      """
      X, y = make_classification(
          n_samples=200,
          n_features=5,
          n_informative=4,
          n_redundant=0,
          n_classes=3,
          n_clusters_per_class=1,
          random_state=451,
          flip_y=0,
          class_sep=3,
          scale=np.array([1.0, 2.0, 100.0, 20.0, 1.0]),
      )
  
      dataset = Dataset(X, y)
      request.cls.dataset = dataset
  
file_path: yellowbrick/tests/test_features/test_radviz.py
imports: import sys
  import pytest
  import numpy.testing
  from tests.base import IS_WINDOWS_OR_CONDA, VisualTestCase
  from ..fixtures import Dataset
  from sklearn.datasets import make_classification
  from yellowbrick.datasets import load_occupancy
  from yellowbrick.features.radviz import *
label_desc: Use image node_id 1 for calling a global function with example usage: dataset(request) without return types