It does this by evaluating the prediction errors of The 2 designs around a certain period of time. The test checks the null hypothesis which the two designs contain the exact same efficiency on ordinary, towards the choice that they don't. Should the check statistic exceeds a significant value, we reject the null hypothesis, indicating that the real difference within the forecast accuracy is statistically important.
A solitary linear layer is adequately robust to model and forecast time series info presented it has been properly decomposed. Hence, we allocated a single linear layer for every part In this particular examine.
?�乎，�?每�?次点?�都?�满?�义 ?��?�?��?�到?�乎，发?�问题背?�的世界??Even so, these https://mstl.org/ research generally overlook basic, but highly powerful procedures, including decomposing a time sequence into its constituents to be a preprocessing stage, as their emphasis is especially on the forecasting model.
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