code: def test_mbsgd_classifier_default(make_dataset):
      nrows, X_train, X_test, y_train, y_test = make_dataset
  
      cu_mbsgd_classifier = cumlMBSGClassifier(batch_size=nrows / 10)
  
      cu_mbsgd_classifier.fit(X_train, y_train)
      cu_pred = cu_mbsgd_classifier.predict(X_test)
      cu_acc = accuracy_score(cp.asnumpy(cu_pred), cp.asnumpy(y_test))
  
      assert cu_acc >= 0.69
  
file_path: cuml/python/cuml/tests/test_mbsgd_classifier.py
imports: from sklearn.model_selection import train_test_split
  from sklearn.metrics import accuracy_score
  from cuml.datasets import make_classification
  from sklearn.linear_model import SGDClassifier
  from cuml.testing.utils import unit_param, quality_param, stress_param
  from cuml.linear_model import MBSGDClassifier
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 4 for calling a global function with example usage: test_mbsgd_classifier_default(make_dataset) without return types