from sklearn.model_selection import cross_val_score
scores = cross_val_score(lin_reg, full_df_prepared, label, scoring="neg_mean_squared_error", cv=10)
rmse_scores = np.sqrt(-scores)
def display_scores(scores):
  print("Scores:", scores)
  print("Mean:", scores.mean())
  print("Standard deviation:", scores.std())
display_scores(rmse_scores)