Exploration - "College Admissions" ML Model #115
Description
The current ML model being used is relatively unclear in its actual purpose/meaning. There's not much explanation on what the overall "score" represents, or what the individual word scores mean, or how these scores translate to the "he/she similarity scores". It also doesn't seem to be completely functional.
The aim of this issue is to dive into the related code (most of which is in cloud-models/gender-word-embeddings) and understand the above, then write quick information on the ML model frame that explains it to the point where a young student can understand it.
This information can be poorly written/bullet points/paraphrase for now, it should just be enough to get point across and we can re-format later as needed.
This issue is paired with a related issue that aims to change the code of the ML model as needed to make its purpose more clear. 2 people are recommended for this.