code: def test_mbsgd_classifier(lrate, penalty, loss, make_dataset):
      nrows, X_train, X_test, y_train, y_test = make_dataset
  
      cu_mbsgd_classifier = cumlMBSGClassifier(
          learning_rate=lrate,
          eta0=0.005,
          epochs=100,
          fit_intercept=True,
          batch_size=nrows / 100,
          tol=0.0,
          penalty=penalty,
      )
  
      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 > 0.79
  
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 3 for calling a global function with example usage: test_mbsgd_classifier(lrate, penalty, loss, make_dataset) without return types