from sklearn.metrics import mean_squared_error car_predictions = lin_reg.predict(full_df_prepared) lin_mse = mean_squared_error(car_predictions, label) lin_rmse = np.sqrt(lin_mse) lin_rmse
from sklearn.metrics import mean_squared_error car_predictions = lin_reg.predict(full_df_prepared) lin_mse = mean_squared_error(car_predictions, label) lin_rmse = np.sqrt(lin_mse) lin_rmse