"In simple words, a decision tree is a structure that contains nodes and edges and is built from a dataset. Each node is either used to make a decision (known as decision node) or represent an outcome (known as leaf node)." (Yaser Sakkaf, 2020)
This project was created during the Artificial Intelligence discipline, with the collaboration of Yuri Ribeiro, my course colleague.
The frontend of this application was created using React.js and some libraries to show the tree.
If you want to test the application on your machine, just perform a 'clone' or simply download this repository. Then just run the following codes:
yarn
then
yarn start
You can also use npm instead of yarn
A web page will open in your browser with the decision tree. In this project we have 3 databases already defined (bank.json, tennis.json and bank_error.json). If you want to add new databases just be aware that the class property needs to be the last value declared in the json.