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In the M5 competition[1], most winning solutions used LightGBM. So ML beat classical.

Just a couple of the winning solutions used DL.

[1] https://www.sciencedirect.com/science/article/pii/S016920702...

I would like to see the results of this ETS on the M5 Competition dataset, and see how fast it is compared to the ETS that was used as a benchmark. It goes without saying that accuracy is important, but reducing the total execution time is also pretty valuable.

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