code: def sklearn_binary_classification_model_interface():
      model = _load_custom_testing_binary_model()
      m = dice_ml.Model(
          model=model, backend="sklearn", model_type="classifier"
      )
      return m
  
imports: from collections import OrderedDict
  from itertools import product
  import pandas
  import pytest
  import torch
  from rai_test_utils.models.sklearn import create_complex_classification_pipeline, create_complex_regression_pipeline
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.neuralnetworks import FFNetwork
label_desc: Use image node_id 19 for calling a global function with example usage: sklearn_binary_classification_model_interface() and returns: m