code: def compare_classifiers():
      """Build pipeline classifiers and compare to published results."""
      # Data set list
      X_train, y_train = load_unit_test(split="train", return_X_y=True)
      X_test, y_test = load_unit_test(split="test", return_X_y=True)
      # Define Transformer pipeline
      print(y_train)
      print(type(y_train))
      print(type(y_train[0]))
  
file_path: sktime/sktime/_contrib/classification_examples.py
imports: import numpy
  import pandas
  from sklearn.ensemble import RandomForestClassifier
  from sktime.classification.dictionary_based import BOSSEnsemble, ContractableBOSS
  from sktime.datasets import load_unit_test
label_desc: Use image node_id 4 for calling a global function with example usage: compare_classifiers() without return types