code: def test_clone2(model, preds_type, use_calibration, binarize_preds):
      """Checks if no error is raised because ``binarize_preds=True`` and we only need access to the `predict` method."""
      ClassifierDriftSklearn(
          x_ref=np.random.randn(100, 5),
          model=model,
          preds_type=preds_type,
          use_calibration=use_calibration,
          binarize_preds=binarize_preds,
      )
  
imports: import pytest
  import numpy
  from typing import Union
  from alibi_detect.cd.sklearn.classifier import ClassifierDriftSklearn
  from sklearn.svm import SVC
  from sklearn.svm import LinearSVC
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, AdaBoostClassifier
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.gaussian_process import GaussianProcessClassifier
  from sklearn.neural_network import MLPClassifier
  from sklearn.naive_bayes import GaussianNB
  from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
label_desc: Use image node_id 5 for calling a global function with example usage: test_clone2(model, preds_type, use_calibration, binarize_preds) without return types