class_docstr: DiscriminationThreshold visualizer tests
class_docstr_tok: ["DiscriminationThreshold","visualizer","tests"]
docstr: Test initialization default parameters
code: def test_threshold_default_initialization(self):
      """
      Test initialization default parameters
      """
      model = BernoulliNB()
      viz = DiscriminationThreshold(model)
      assert viz.estimator is model
      assert viz.color is None
      assert viz.title is None
      assert viz.n_trials == 50
      assert viz.cv == 0.1
      assert_array_equal(viz.quantiles, np.array((0.1, 0.5, 0.9)))
  
imports: import sys
  import pytest
  import yellowbrick
  import matplotlib.pyplot
  from yellowbrick.classifier.threshold import *
  from yellowbrick.datasets import load_occupancy, load_spam
  from yellowbrick.utils import is_probabilistic, is_classifier
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from numpy.testing import assert_array_equal
  from sklearn.base import ClassifierMixin
  from sklearn.svm import LinearSVC, NuSVC
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import Pipeline
  from sklearn.datasets import make_classification
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.naive_bayes import BernoulliNB, GaussianNB
  from sklearn.linear_model import Ridge, LogisticRegression
  from sklearn.model_selection import StratifiedShuffleSplit
label_desc: Use image node_id 8 for calling the TestDiscriminationThreshold obj's underlying member method code with example usage: obj.test_threshold_default_initialization() without return types