class_docstr: Test the ValidationCurve visualizer
class_docstr_tok: ["Test","the","ValidationCurve","visualizer"]
docstr: Test image closeness on a classification dataset with kNN
docstr_tok: ["Test","image","closeness","on","a","classification","dataset","with","kNN"]
code: def test_classifier(self):
      """
      Test image closeness on a classification dataset with kNN
      """
      X, y = self.classification
  
      cv = ShuffleSplit(3, random_state=288)
      param_range = np.arange(3, 10)
  
      oz = ValidationCurve(
          KNeighborsClassifier(),
          param_name="n_neighbors",
          param_range=param_range,
          cv=cv,
          scoring="f1_weighted",
      )
  
      oz.fit(X, y)
      oz.finalize()
  
      self.assert_images_similar(oz)
  
imports: import sys
  import pytest
  import numpy
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from sklearn.svm import SVC
  from sklearn.naive_bayes import BernoulliNB
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.preprocessing import OneHotEncoder
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.model_selection import ShuffleSplit, StratifiedKFold
  from yellowbrick.datasets import load_mushroom
  from yellowbrick.exceptions import YellowbrickValueError
  from yellowbrick.model_selection.validation_curve import *
label_desc: Use image node_id 2 for calling the TestValidationCurve obj's underlying member method code with example usage: obj.test_classifier() without return types