I come from a programming background and learning the math behind the data science and algorithms now.
I would like to understand the logic behind how a data gets plotted in a graph when using Logistic regression.
Lets consider a Testing data like this,
ID Age Grade Location Churn 1 24 1 A 1 2 25 1 A1 1 3 28 1 A2 1 4 31 2 A3 0
And this could get plotted like this in Logistic regression like this -
[A mocked image below]
How did these ID's usually gets plotted in the graph. What's the math behind a data like this getting plotted in a graph.
I understand the plane separating the points. But couldn't understand how the points got there in the first place.
This may be basic for experienced people. But it has been a question in my mind for a while. I tried to get any online materials but I couldn't or may be I don't know what to search for.
Also, does this plotting differs in any way for SVM and other models. I guess only the model splitting the points will differ.
Please give me leads in understanding this one.