I have trend data and i want to identify customers whose turnover climb or fall .
Witch Kibana ML model can i do to identify them?
Anomalies detection or regression ?
I also want to know how to interpret the results of anomalies detection based on poplulation metric and how to interpret the result of a regression?
For regression per example, i have done an analysis witch predict the turnover. But i dont know what to do with the result?
How can i interpret that( i have training r2 =0,7 and testing r2=0,4).
when can i say my model is good?
How the regression analysis in kibana works? I have used a training percent of 90.
This normaly means that 90% of data is used for training and 10% for testing.
is the 10% a part of my data or is this unseen data that kibana will generate?
Thanks for answers.