Hey,
looks like some people tried the App, thanks!
I think the idea of using ML for predicting the values is using "huge" (define huge), data model.
When data Model has only a few rows, ie we select only one row and hit "Generate Model", the result
is based on single row of data! And thats not great!
So we can sort the data in the Model, and select for example "Acura" make of car hit the "Generate Model",
and then all prediction will be based on Acura make of cars! Or Audi, BMD, etc...
Or, we select ALL rows in the model, hit "Generate Model" which is then result irrelevant to a car model!
Bigger the data model, better results.
Hence, if Jam has enough data for ie sales, we can quickly make a ML example from this data.
I'm not a data scientist though, just throwing ideas :)
I am not sure how and where to add the information how big the CURRENT model is when generated, any ideas?