This repository contains an implementation of a decision tree algorithm for machine learning purposes. Decision trees are a popular method for classification and regression tasks due to their ...

The project demonstrates the application of Decision Trees for classification, model evaluation, and visualization. The goal of this project is to build and evaluate a machine learning model ... The ...

A decision tree classifier is a machine learning (ML) prediction system that generates ... a dataset into two subsets which have small average impurity. The code for the demo program shown in Figure 1 ...

Using a decision tree classifier from a machine learning ... splitting and disorder code to create a working decision tree classifier. A good way to see where this article is headed is to take a look ...

This code is written in CommonLisp. The beginning of the file contains documentation on how to use it. The file also contains the training examples.

Abstract: Machine Learning is one of the finest fields of Computer Science world which has given the innumerable and invaluable solutions to the mankind to solve its complex problems. Decision Tree is ...

We evaluated two machine learning models: Decision Tree and K-Nearest Neighbors (KNN) using several performance indicators. The results indicate that KNN achieves higher AUC and accuracy, but Decision ...