How can I be convinced by what the model says in particular for Time series?

Hi, all here,

I want to hear from you for your experiences on how can we be convinced by what the model predicts particularly for Time Series algorithm? As we are not able to see the model accuracy chart for that, in this case, how can use the model results? E.g. we wanna know the possible sales amount of next month for a particular store in order to buy in the goods, in this case, how can we make the most of the prediction by the model? To shop ower, well, if the result is too far away from the usual sales amount, then it is unbelievable, thus, in this case, what else can we try? Keep training the models until its results sounds reasonable? Or what else can we try?Thanks in advance for your advices and help and I am looking forward to hearing from you shortly.

With best regards,

Yours sincerely,

Manually, you could train your model with only some part of your data (say, without the last month) and see how the predictions compare with the actual values for the last month.

The algorithm allows you to specify a parameter, HISTORIC_MODEL_COUNT.
In the series viewer, you can choose to display historic predictions and compare them with the real data

This should give you an idea of how good the predictions are. Also, in the series viewer, you can choose to display the error associated with the forecast values, which should give an idea about the confidence of the prediction|||

Hi, Bogdan,

Thanks a lot for your very kind advices and help.

With best regards,

Yours sincerely,