class_docstr: Test the ClassificationScoreVisualizer base functionality
docstr: Assert score without fitted estimator raises NotFitted
docstr_tok: ["Assert","score","without","fitted","estimator","raises","NotFitted"]
code: def test_score_without_fitted_estimator(self):
      """
      Assert score without fitted estimator raises NotFitted
      """
      oz = ClassificationScoreVisualizer(GaussianNB())
      assert_not_fitted(oz)
  
      with pytest.raises(NotFitted):
          oz.score(self.binary.X.test, self.binary.y.test)
          assert_not_fitted(oz)
  
imports: import pytest
  import numpy
  import numpy.testing
  from yellowbrick.classifier.base import *
  from sklearn.naive_bayes import GaussianNB
  from sklearn.preprocessing import LabelEncoder
  from sklearn.linear_model import LinearRegression
  from .conftest import assert_fitted, assert_not_fitted
  from yellowbrick.exceptions import YellowbrickTypeError
label_desc: Use image node_id 5 for calling the TestClassificationScoreVisualizer obj's underlying member method code with example usage: obj.test_score_without_fitted_estimator() without return types