Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...

Abstract: To reliably forecast traffic accidents using novel decision trees and evaluate their accuracy against linear regression. prediction of traffic accidents by the use of linear regression and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

This cross-sectional study investigated SLD-related variables using decision tree regression in apparently healthy adults. Participants were consecutively recruited from the Health Promotion and Check ...

When the Dallas Mavericks left for the longest road trip of their season in late January, the team’s franchise player wasn’t with them. Luka Dončić had suffered a calf strain in a game on Christmas ...

1 Department of Medical Rehabilitation Sciences, King Khalid University, Abha, Saudi Arabia 2 Marketing and Retail Studies, The Business School, Centennial College, Toronto, ON, Canada Background: ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...