text: # Source:
  # https://www.kaggle.com/lilyelizabethjohn/standardization-using-standardscaler
  
  dataset = "ghouls"
  metric = "accuracy"
  
  
  def make_pipeline():
      from sklearn.pipeline import Pipeline
      from sklearn.preprocessing import StandardScaler
      from sklearn.linear_model import LogisticRegression
  
      scaler = StandardScaler()
      clf = LogisticRegression(random_state=0)
      p = Pipeline([('scaler', scaler), ('clf', clf)])
      return p
  