class_docstr: Test ROCAUC visualizer
class_docstr_tok: ["Test","ROCAUC","visualizer"]
docstr: Test ROCAUC with a multiclass classifier
docstr_tok: ["Test","ROCAUC","with","a","multiclass","classifier"]
code: def test_multiclass_rocauc(self):
      """
      Test ROCAUC with a multiclass classifier
      """
      # Create and fit the visualizer
      visualizer = ROCAUC(GaussianNB())
      visualizer.fit(self.multiclass.X.train, self.multiclass.y.train)
  
      # Score the visualizer
      s = visualizer.score(
          self.multiclass.X.test, self.multiclass.y.test
      )
  
      # Test that score method successfully returns a value between 0 and 1
      assert 0 <= s <= 1
  
      # Check the scores
      assert_valid_rocauc_scores(visualizer, nscores=8)
  
      # Compare the images
      visualizer.finalize()
      self.assert_images_similar(visualizer, tol=0.1, windows_tol=10)
  
imports: import pytest
  import numpy
  import numpy.testing
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from yellowbrick.classifier.rocauc import *
  from yellowbrick.exceptions import ModelError
  from yellowbrick.datasets import load_occupancy
  from sklearn.svm import LinearSVC, SVC
  from sklearn.naive_bayes import GaussianNB
  from sklearn.linear_model import LogisticRegression
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
  from sklearn.preprocessing import MinMaxScaler
  from sklearn.pipeline import Pipeline
label_desc: Use image node_id 8 for calling the TestROCAUC obj's underlying member method code with example usage: obj.test_multiclass_rocauc() without return types