mAPE python
def percentage_error(actual, predicted): res = np.empty(actual.shape) for j in range(actual.shape[0]): if actual[j] != 0: res[j] = (actual[j] - predicted[j]) / actual[j] else: res[j] = predicted[j] / np.mean(actual) return res def mean_absolute_percentage_error(y_true, y_pred): return np.mean(np.abs(percentage_error(np.asarray(y_true), np.asarray(y_pred)))) * 100
