Pratical work for Inteligência Artificial CC2006. The aim of the practical work is to create and evaluate classification models for this data (experimental speed dating events) set using two Machine Learning algorithms: Decision Trees (CART or ID3) and Naive Bayes.
- Use the packages in anaconda/spec-file.txt to use the same environment as the original
- Then compile and run the program
- Used the IDE VS Code to run the program
- The pictures directory contains the graphs of each run
- The pictures_examples directory contains the graphs of the examples used in the report