code: def test_svm_skl_cmp_kernels(params):
      # X_train, X_test, y_train, y_test = make_dataset('gaussian', 1000, 4)
      X_train, y_train = get_binary_iris_dataset()
      cuSVC = cu_svm.SVC(**params)
      cuSVC.fit(X_train, y_train)
  
      sklSVC = svm.SVC(**params)
      sklSVC.fit(X_train, y_train)
  
      compare_svm(
          cuSVC, sklSVC, X_train, y_train, cmp_decision_func=True
      )
  
imports: import platform
  from sklearn.preprocessing import StandardScaler
  from sklearn.model_selection import train_test_split
  from sklearn.metrics import mean_squared_error
  from sklearn.datasets import make_classification, make_gaussian_quantiles
  from sklearn.datasets import make_regression, make_friedman1
  from sklearn.datasets import load_iris, make_blobs
  from sklearn import svm
  from cuml.testing.utils import unit_param, quality_param, stress_param, compare_svm, compare_probabilistic_svm, svm_array_equal
  from cuml.common import input_to_cuml_array
  import cuml.svm
  import cuml
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals.safe_imports import cpu_only_import
  import pytest
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 3 for calling a global function with example usage: test_svm_skl_cmp_kernels(params) without return types