code: def sklearn_model():
      return MLPClassifier(hidden_layer_sizes=(20,))
  
file_path: alibi-detect/alibi_detect/cd/tests/test_classifier.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Dense, Input
  import torch
  import torch.nn
  from alibi_detect.cd import ClassifierDrift
  from alibi_detect.cd.pytorch.classifier import ClassifierDriftTorch
  from alibi_detect.cd.tensorflow.classifier import ClassifierDriftTF
  from alibi_detect.cd.sklearn.classifier import ClassifierDriftSklearn
  from sklearn.neural_network import MLPClassifier
  from typing import Tuple
label_desc: Use image node_id 3 for calling a global function with example usage: sklearn_model() and returns: MLPClassifier