Hi,

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.

Cordialy