ML - Anomaly fresh data (high score)


I am starting to play with ML, i have created a job to look for rare user name to soure country. Many people login from the UK, the issue is ingesting a new company leads to high scores for the new user names, is populated for all data

Job is Rare, partition source.geo.country_name and + source.geo.county_name as the influencers

Is there anything within the job i can set to deal with this?


Beleive i have resolved my issue with the filters. Although when cloning the job it fails on the validation, just says bad. Ive had to create the ML job with a small amount of data, open, add the filter then expand its dataset.

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