y_truth = test_cleaned.iloc[:,0].values
y_forecasted = forecast.iloc[-N:,2].values


denominator = (np.abs(y_truth) + np.abs(y_forecasted))
diff = np.abs(y_truth - y_forecasted) / denominator
diff[denominator == 0] = 0.0
print(200 * np.mean(diff))