code: def test_multiclass_with_false_binary():
      y_targ = [1, 1, 1, 0, 0, 2, 0, 3]
      y_pred = [1, 0, 1, 0, 0, 2, 1, 3]
      assert_raises(
          AttributeError, lift_score, y_targ, y_pred, False, 1
      )
  
file_path: mlxtend/mlxtend/evaluate/tests/test_lift_score.py
imports: import numpy
  from numpy.testing import assert_array_equal, assert_raises
  from mlxtend.evaluate import lift_score
  from mlxtend.evaluate.lift_score import support
label_desc: Use image node_id 3 for calling a global function with example usage: test_multiclass_with_false_binary() without return types