I have a population model created as per recipes with configuration as follow:
"high_info_content(destination.subdomain) over destination.domain"
I'm trying to understand how the model is working for this specific job. As I understand from temporal/population analysis article, this will create a typical entropy value based on the subdomain analysis of all destination domain values seen in that bucket. So just wondering if this typical value is only based on the subdomains seen in that bucket or considers the history of those values? also for each destination domain X in the bucket (analyzing the subdomain information for domain X) there will be a new model created for all other destinations excluding X as comparison baseline?