code: def create_rand_clf(random_state):
      clf, _ = make_classification(
          n_samples=500,
          n_features=20,
          n_clusters_per_class=1,
          n_informative=12,
          n_classes=5,
          order="C",
          random_state=random_state,
      )
      return clf
  
imports: from cuml.common import input_to_cuml_array
  from scipy.sparse import coo_matrix
  from scipy.sparse import csc_matrix
  from cupyx.scipy.sparse import coo_matrix
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals.safe_imports import gpu_only_import
  from cuml.internals.safe_imports import cpu_only_import
  import pytest
  from cuml.datasets import make_classification, make_blobs
  from cuml.internals.safe_imports import cpu_only_import_from
label_desc: Use image node_id 2 for calling a global function with example usage: create_rand_clf(random_state) and returns: clf