In this project, two algorithms – Iterative Dichotomiser 3 (ID3) and Classification And Regression Tree (CART) – are experimented to solve 3 classification problems and 4 regression problems ...

The ID3.py file contains all the functions and class needed to create a decision tree using the ID3 algorithm. The node class contains 4 different attributes. The entire decision tree is made up of ...

Abstract: Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely used ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...