This repository illustrates some ML challenges of training a custom ML (multiclass text classification) model for each user.
This repository complements my presentation at Data Science fwdays'21 conference: Custom ML Models for Each User.
When training a separate model for each user, there are multiple training data sets each of its own size.
Here you can find: how different model metrics change with training data set size.
The data set used is based on GitHub Issue Classification tutorial that illistrates ML.NET usage.