def METHOD_NAME():
    evaluator = Evaluator(quantiles=[0.1, 0.5, 0.9])
    arima = RForecastPredictor(
        freq=freq,
        prediction_length=24 * 7,
        period=period,
        params={
            "quantiles": [0.50, 0.10, 0.90],
            "output_types": ["mean", "quantiles"],
        },
        method_name="arima",
    )
    arima_eval_metrics, _ = backtest_metrics(
        test_dataset=dataset, predictor=arima, evaluator=evaluator
    )
    fourier_arima = RForecastPredictor(
        freq=freq,
        prediction_length=24 * 7,
        period=period,
        params={
            "quantiles": [0.50, 0.10, 0.90],
            "output_types": ["mean", "quantiles"],
        },
        method_name="fourier.arima",
    )
    fourier_arima_eval_metrics, _ = backtest_metrics(
        test_dataset=dataset, predictor=fourier_arima, evaluator=evaluator
    )
    assert fourier_arima_eval_metrics["MASE"] < arima_eval_metrics["MASE"]