The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

Traffic offences are characterised by high complexity and low sentencing accuracy in the ordinary prosecution sentencing process. Decision tree algorithm is a more effective sentencing accuracy and ...

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 ...

Random Forest, an improvement over bagging decision trees, is an ensemble learning algorithm that produces successive independent trees fitted on bootstrapped random subsets of data (Biau, 2012). It ...

This research is based on the improvement of accuracy in detection of chondrosarcoma the decision tree is taken and comparing the results with the support vector machine from deep learning algorithms.