new_contents: from uplift.ensemble import RandomForestClassifier
  from uplift.datasets import make_radcliffe_surry
  from uplift.metrics import qini_q
  
  X_train, y_train, group_train = make_radcliffe_surry()
  X_test, y_test, group_test = make_radcliffe_surry()
  
  rfc = RandomForestClassifier(n_estimators=50, min_samples_leaf=200, criterion='uplift_gini')
  
  rfc.fit(X_train, y_train, group_train)
  uplift_pred = rfc.predict_uplift(X_test)
  
  print(qini_q(y_test, uplift_pred, group_test))
  
subject: ADD example file