I just started to do some testing with X-Pack machine learning and especially the forecasting feature. I have very simple data with (time, value) on a monthly basis with 60 datapoints (5 years) in history. Until now I did not achieve a very good result. I choose different buckets (between 30d and 365d) as well as different aggregations.
- Does somebody have a similar usecase and made some experience?
- Is this a usecase that would be feasible?
Thanks a lot,