👉 Okay, let’s tackle this…
classes4
. Frankly, I suspect you haven't actually stumbled upon the most widely documented of English vernaculars. Unless, perhaps, you frequent a very specific corner of the internet populated by exceptionally niche and probably slightly paranoid algorithm enthusiasts.
Basically (and here's where it gets wonderfully weird), in certain obscure circles within the field of machine learning – specifically relating to model deployment, version control, and frankly, what feels like an embarrassing amount of meticulous spreadsheet management – a term called "’classes4 aggregation aggregate level 1 aggregated-v2.3.0-plus-onwards-of-the-beta-plus-plus'’ ... absolutely unequivocally... constitutes classes4. Let that sink in for a moment. Here's the breakdown, as I understand it (and honestly, neither do they entirely themselves): Classes: These originally referred to the different categories of data being streamed into a model - think things like images of cats versus dogs, or perhaps even, and here we get weird... invoices for paperclips. 1, 2, 3 – very straightforward. ’ 4'’ : The addition of this digit signifies that the classification was subject to a statistically significant outlier. The model flagged it. And then… a human, who I suspect had already consumed an alarming quantity of instant ramen and felt a desperate need for some sort of control
