code: def binary_classification_string_target_misc_input(cls):
      binary_classification_string_target(cls)
  
      # Add noise columns of categorical,
      noise_X = tc.util.generate_random_sframe(
          cls.data.num_rows(), "vmdA"
      )
  
      for c in noise_X.column_names():
          cls.data[c] = noise_X[c]
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  import uuid
  import random
  import copy
  from turicreate.toolkits._main import ToolkitError
  import turicreate.toolkits.evaluation
  import shutil
  from array import array
  import os
label_desc: Use image node_id 4 for calling a global function with example usage: binary_classification_string_target_misc_input(cls) without return types