code: def setUp(self):
      iris = load_iris()
      X_train, X_test, y_train, y_test = train_test_split(
          iris.data, iris.target, test_size=0.30, random_state=0
      )
  
      model = RandomForestClassifier()
      model.fit(X_train, y_train)
  
      y_pred = model.predict(X_test)
      y_score = model.predict_proba(X_test)
      target_names = ["setosa", "versicolor", "virginica"]
      feature_names = range(4)
      model_name = "a model"
  
      self.results = ClassifierEvaluator(
          estimator=model,
          y_true=y_test,
          y_pred=y_pred,
          y_score=y_score,
          feature_names=feature_names,
          target_names=target_names,
          estimator_name=model_name,
      )
  
file_path: sklearn-evaluation/tests/test_report.py
imports: from unittest import TestCase
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.datasets import load_iris
  from sklearn.model_selection import train_test_split
  from sklearn_evaluation import ClassifierEvaluator
label_desc: Use image node_id 1 for calling the TestReportGeneration obj's underlying member method code with example usage: obj.setUp() without return types