from sklearn.svm import SVR


svr = SVR(kernel="linear", C=2)
svr.fit(housing_prepared, housing_labels)
svr_predictions = svr.predict(housing_prepared)
svr_mse = mean_squared_error(housing_labels, svr_predictions)
svr_rmse = np.sqrt(svr_mse)
print(svr_mse, svr_rmse)

from sklearn.svm import SVR


svr = SVR(kernel="rbf", C=2, gamma="auto")
svr.fit(housing_prepared, housing_labels)
svr_predictions = svr.predict(housing_prepared)
svr_mse = mean_squared_error(housing_labels, svr_predictions)
svr_rmse = np.sqrt(svr_mse)
print(svr_mse, svr_rmse)