How many benchmark baselines should you have for a forecasting problem? Right now I am working on a forecasting problem and...I am using the following baseline methods:
- Average
- Moving Average
- Naive
- Drift
I could use Seasonal Naive, many variations on the average like the exponential average but I am lacking a precise reason to decide how many and which I should use to guarantee that I have the best comparison framework possible....
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