Thank you @sheiser1 for your fast reply.
Actually, I don’t have the data yet as I’m proposing HTM for anomaly detection as a solution for incident prediction problem, but I’m assuming the number variables will be much greater than 4 or 5.
But now I have two questions
First, what if the variables for some reason, each one separately (in a single model) won’t predict an anomaly (in any of the models) and in a multivariant model it would predict an anomaly?
Second, if I had a single model for each variable how would I combine the result of each model to have only one score for anomaly?