code: def test_classification(self):
      bc_df = pd.DataFrame(self.bc.data, columns=self.bc.feature_names)
      X_train, X_test, Y_train, Y_test = train_test_split(
          bc_df, self.bc.target, test_size=0.2, random_state=31
      )
      fb = FeatureBinarizer(negations=True)
      X_train_fb = fb.fit_transform(X_train)
      X_test_fb = fb.transform(X_test)
  
      self.assertEqual(len(X_train_fb.columns), 540)
      self.assertEqual(len(X_test_fb.columns), 540)
  
      explainer = BRCG(silent=True)
      explainer.fit(X_train_fb, Y_train)
      Y_pred = explainer.predict(X_test_fb)
  
      self.assertGreater(accuracy_score(Y_test, Y_pred), 0.9)
      self.assertGreater(precision_score(Y_test, Y_pred), 0.9)
      self.assertGreater(recall_score(Y_test, Y_pred), 0.9)
      self.assertGreater(f1_score(Y_test, Y_pred), 0.9)
  
      exp = explainer.explain()
  
      # Test the first conjunction
      # ((compactness error > 0.011936000000000002) & (worst concavity <= 0.2177) & (worst symmetry <= 0.2819))
      conj1 = exp.conjunctions[0]
      self.assertEqual(len(conj1), 3)
  
      self.maxDiff = None
      expected_conj = Conjunction(
          [
              Predicate(
                  Feature("compactness error"),
                  Relation.GT,
                  0.011936000000000002,
              ),
              Predicate(
                  Feature("worst concavity"), Relation.LE, 0.2177
              ),
              Predicate(Feature("worst symmetry"), Relation.LE, 0.2819),
          ]
      )
  
      self.assertListEqual(conj1.predicates, expected_conj.predicates)
  
file_path: AIX360/tests/rule_induction/rbm/test_brcg.py
imports: from unittest import TestCase
  from aix360.algorithms.rule_induction.rbm.boolean_rule_cg import BooleanRuleCG
  import pandas
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import train_test_split
  from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
  from aix360.algorithms.rbm import FeatureBinarizer
  from aix360.algorithms.rule_induction.trxf.core.feature import Feature
  from aix360.algorithms.rule_induction.trxf.core.predicate import Predicate, Relation
  from aix360.algorithms.rule_induction.trxf.core.conjunction import Conjunction
label_desc: Use image node_id 2 for calling the TestBRCG obj's underlying member method code with example usage: obj.test_classification() without return types