I'm monitoring HTTP Status Code over time. Somehow the model built something for code "415". At some point in the past, we had some spikes of 415 but it disappeared as seen in this picture:
Zoomed in what changed the model:
Somehow after a long time, a value of zero was decided to be outside of norm and now constantly alarming.
How to prevent machine learning from learning bad stuff or just to simply ignore it? There is that scheduling calendar, but most of what I need to ignore is in the past.
I created some rules to skip result when actual are below 1. Will see if that works.