- Álvaro Esteban Muñoz
- Luca Trambaiollo
The project can be tryed out by simply executing the notebook on it.
To build the model we were inspired by the structure presented in the textbook "Bayesian Networks: With Examples in R" by Marco Scutari 2015. We decide to add some new variables in order to perform some interesting queries and to test the performance when subjected to different amounts of data.
It is highly suggested to read the report in order to understand the purposes of the project and the experiments performed on it.
The project was developed using the pgmpy library for python.
This project was developed as part of the course in Fundamentals of Artificial Intelligence and Knowledge Representation in the University of Bologna.