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It does this by evaluating the prediction errors of The 2 styles above a specific period. The take a look at checks the null hypothesis the two products hold the same effectiveness on typical, from the choice that they do not. In case the exam statistic exceeds a vital price, we reject the null speculation, indicating that the difference inside the forecast precision is statistically sizeable.

A solitary linear layer is adequately sturdy to model and forecast time collection details delivered it's been properly decomposed. Hence, we allocated only one linear layer for every element Within this study.

We create a time collection with hourly frequency which has a every day and weekly seasonality which follow a sine wave. We reveal a more real world illustration later in the notebook.

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