Probabilistic classification and cost-sensitive learning#
This tutorial introduces how to assess the quality of probabilistic classifiers and how to derive optimal decision policies for a user specified cost model.
Table of contents#
Slides#
Notebooks 
#
Cost-sensitive learning
Classification metrics
Running the notebooks locally#
Install pixi#
You can refer to the official website for installation.
Launching Jupyter Lab#
To launch Jupyter Lab, run the following command:
pixi run jupyter lab
The Python environment and necessary packages will be automatically installed for you.
Opening lecture notes#
The lecture notes are available in the python_files directory. To open the Python
file as notebook, you need to right click on the file and select
Open with -> Notebook.