code: def multiclass(request):
      """
      Creates a random multiclass classification dataset fixture
      """
      X, y = make_classification(
          n_samples=500,
          n_features=20,
          n_informative=8,
          n_redundant=2,
          n_classes=6,
          n_clusters_per_class=3,
          random_state=87,
      )
  
      X_train, X_test, y_train, y_test = tts(
          X, y, test_size=0.2, random_state=93
      )
  
      dataset = Dataset(Split(X_train, X_test), Split(y_train, y_test))
      request.cls.multiclass = dataset
  
file_path: yellowbrick/tests/test_classifier/conftest.py
imports: import pytest
  from tests.fixtures import Dataset, Split
  from yellowbrick.exceptions import NotFitted
  from sklearn.exceptions import NotFittedError
  from sklearn.datasets import make_classification
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 4 for calling a global function with example usage: multiclass(request) without return types