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 ...

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 decision tree is the most extensive method. It can be used to classify, identify and predict data information, and the whole system can be divided into several stages according to its ...

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 ...

Decorating with evergreen trees did not start as a Christmas tradition at all. We know this because evergreen trees were used for winter decoration in the BC (Before Christ) years. At this point, the ...

I developed this project from March 2017 - May 2017. In 2016 and 2017, I was in high school and just beginning to find passion in computer science. This project reflects my exploration of more complex ...