Abstract: The goal of this study is to evaluate how well driver drowsiness can be detected using two different machine learning methods: the Decision Tree Classifier and the Novel Random Forest ...

The owner of The Smoking Tree on Wednesday filed an appeal with the Minnesota Court of Appeals regarding the Albert Lea City Council’s decision to deny his cannabis retail registration, arguing that ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

A comprehensive implementation of a Decision Tree classifier using the ID3 algorithm, featuring advanced visualization capabilities and support for multiple datasets. Built entirely from scratch ...

Objective: To develop a decision tree model using clinical risk factors to predict massive pulmonary hemorrhage (MPH) and MPH-related mortality in extremely low birth weight infants (ELBWIs). Method: ...

Abstract: This research study applies a Decision Tree Classifier to detect anomalies in IoT networks using the NSL-KDD collection of data, which is a used widely as a benchmark for intruder ...

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

Welcome to the online version of From the Politics Desk, an evening newsletter that brings you the NBC News Politics team’s latest reporting and analysis from the White House, Capitol Hill and the ...