class_docstr: Test ClassPredictionError visualizer
class_docstr_tok: ["Test","ClassPredictionError","visualizer"]
docstr: Test the ClassPredictionError quickmethod
docstr_tok: ["Test","the","ClassPredictionError","quickmethod"]
code: def test_class_prediction_error_quickmethod(self):
      """
      Test the ClassPredictionError quickmethod
      """
      X, y = load_occupancy(return_dataset=True).to_numpy()
  
      fig = plt.figure()
      ax = fig.add_subplot()
  
      clf = SVC(random_state=42)
      viz = class_prediction_error(clf, X, y, ax=ax, show=False)
  
      # Not sure why the tolerance must be so high for this
      # Failing on travis with RMS 9.544
      # AppVeyor and Linux conda fail due to non-text-based differences: RMS 12.961
      # yellowbrick.exceptions.ImageComparisonFailure: images not close (RMS 15.538)
      self.assert_images_similar(viz, tol=16, windows_tol=16)
  
imports: import pytest
  import matplotlib.pyplot
  from yellowbrick.exceptions import ModelError
  from yellowbrick.datasets import load_occupancy
  from yellowbrick.classifier.class_prediction_error import *
  from sklearn.svm import LinearSVC, SVC
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.datasets import make_multilabel_classification
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import MinMaxScaler
  from unittest.mock import patch
  from tests.base import VisualTestCase
label_desc: Use image node_id 3 for calling the TestClassPredictionError obj's underlying member method code with example usage: obj.test_class_prediction_error_quickmethod() without return types