code: def get_breast_cancer_data(target="diagnosis"):
      """Get the Wisconsin Breast Cancer classification dataset, formatted as a DataFrame
  
      Parameters
      ----------
      target: String, default="diagnosis"
          What to name the column in `df` that contains the target output values
  
      Returns
      -------
      df: `pandas.DataFrame`
          The breast cancer dataset, with friendly column names"""
      data = load_breast_cancer()
      df = pd.DataFrame(
          data=data.data,
          columns=[_.replace(" ", "_") for _ in data.feature_names],
      )
      df[target] = data.target
      return df
  
file_path: hyperparameter_hunter/hyperparameter_hunter/utils/learning_utils.py
imports: import pandas
  from sklearn.datasets import load_boston, load_breast_cancer, load_diabetes, load_iris, make_classification
label_desc: Use image node_id 1 for calling a global function with example usage: get_breast_cancer_data(target) and returns: df