Hello Paulo,

thanks for your comment and the datasets you provided!

Yeah, as we discussed yesterday, a polynomial of degree 8 might not fit the very irregular patterns, but on the other hand I do believe this approximation will be ok in a large percentage of cases as the degree is rather high. It is something I will discuss within our team and the squad responsible for this feature: it's all a balance between saving memory and exactness and depends on how irregular the patterns are that we expect in such data. Maybe as more memory becomes available on customer systems, this modelling approach might even be omitted all together.

With regards to the datasets you sent (pictures in your post above), I ran some experiments to verify whether this degree 8 approximation could be the issue you're experiencing. For each dataset, I first calculated the medians as displayed in the table in my previous post in this thread. This is plotted in orange.

Then, for each day, I ran the degree 8 approximation and plotted that in blue. As you see, the blue lines are rather good (but indeed not perfect) approximations of the actual medians...

As discussed, this means that your issue must lie elsewhere. If there is anything we can help you with in that regards, don't hesitate to reach out. I will also keep you posted on any decisions on the adaptation of the smart baseline functionality.

Thanks a lot for your question!

Dennis