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Re:Zero-Shot Forecasting: Our Search for a Time-Series Found... by wenc on Friday June 13, 2025 @03:12AM (#44266381)
I wonder how this would perform on the M4 Makridakis competitions (time series competitions)

https://github.com/Mcompetitions/M4-methods

https://en.wikipedia.org/wiki/Makridakis_Competitions

Makridakis' conclusion remained true for many years: "statistically sophisticated and complex methods do not necessarily provide more accurate forecasts than simpler ones."

Maybe things have changed?

(side: Nixtla showed a simple ensemble outperforming Chronos, and the Chronos team responded, but there's some back and forth in the comments: https://www.linkedin.com/pulse/extended-comparison-chronos-a...)

Re:Zero-Shot Forecasting: Our Search for a Time-Series Found... by parmesant on Friday June 13, 2025 @08:03AM (#44267760)
This looks like a great benchmark! We've been thinking of doing a better and more detailed follow-up and this seems like the perfect dataset to do that with. Thanks!
Re:Zero-Shot Forecasting: Our Search for a Time-Series Found... by 3abiton on Saturday June 14, 2025 @03:46AM (#44274903)
When I worked in Demand prediction (multivariate), it was lgbm that was outperformong across the board.