code: def get_breast_cancer_data():
      data = load_breast_cancer()
      df = pd.DataFrame(data=data.data, columns=data.feature_names)
      df["diagnosis"] = data.target
      return df
  
imports: from hyperparameter_hunter.callbacks.recipes import confusion_matrix_oof, confusion_matrix_holdout
  from hyperparameter_hunter.environment import Environment, define_holdout_set, validate_file_blacklist
  import numpy
  import pandas
  from pkg_resources import get_distribution
  import pytest
  from sklearn.datasets import load_breast_cancer
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import RepeatedStratifiedKFold
label_desc: Use image node_id 1 for calling a global function with example usage: get_breast_cancer_data() and returns: df