code: def test_prediction_scores(self):
      y_test_predicted = self.clf.predict(self.X_test)
      assert_equal(len(y_test_predicted), self.X_test.shape[0])
  
      # check performance
      assert (
          accuracy_score(self.y_test, y_test_predicted)
          >= self.accuracy_floor
      )
  
      # test utility function
      evaluate_print("averaging", self.y_test, y_test_predicted)
  
imports: import os
  import sys
  import unittest
  import numpy
  from sklearn.model_selection import train_test_split
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.datasets import load_breast_cancer
  from numpy.testing import assert_allclose
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from sklearn.metrics import roc_auc_score
  from sklearn.metrics import accuracy_score
  from combo.models.classifier_stacking import Stacking
  from combo.utils.data import evaluate_print
label_desc: Use image node_id 4 for calling the TestStacking obj's underlying member method code with example usage: obj.test_prediction_scores() without return types