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 ...

Abstract: This paper emphasized on the implementation of ID3 algorithm in forestry resource classification rule decision tree. Use ID3 algorithm to analysis the correlation information among forestry ...

This repository contains a simple implementation of the ID3 decision tree learning algorithm in Python. The ID3 algorithm is a popular machine learning algorithm used for building decision trees based ...

Abstract: ID3 is one of the most widely used algorithms for creating a classification decision tree. However, the traditional ID3 algorithm has a difficulty when there are equally important attributes ...