Four conservative Supreme Court justices penned a blistering dissent Wednesday after the court majority rejected the Trump administration's request to continue a temporary freeze on foreign aid ...

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 ...

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 tree, ...

1 State Key Laboratory of HVDC, CSG Electric Power Research Institute, China Southern Power Grid, Guangzhou, China 2 School of Electric Power Engineering, South China University of Technology, ...

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: Classification is the main research target of many algorithms in data mining. Of all the algorithms, decision trees are more preferred by researchers due to their clarity and readability.