Abstract: This research paper examines the accuracy of the logistic regression method in predicting employee attrition. Employee attrition is of particular interest to human resources departments due ...

Objective This study assessed husbands’ knowledge of neonatal danger signs in Dessie City, Northeast Ethiopia, focusing on fathers of infants born within the preceding 6 months (2023). Design ...

Introduction: This cross-sectional study investigates the interplay of lifestyle, behavioral, and psychosocial factors in predicting depressive symptoms among Chinese college students (N=508) using ...

This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Introduction In this lesson, you'll be introduced to the logistic regression model. You'll start with an introductory example using linear regression, which you've seen before, to act as a segue into ...

Abstract: The reliability evaluation of composite generation and transmission systems is a problem with high computational effort. The optimization of algorithms that carry out this assessment has ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Background: The literature regarding outcomes among patients with coagulopathy who had left atrial appendage occlusion (LAAO) device procedure is limited. This study evaluated the inpatient outcomes ...

ABSTRACT: The effectiveness of Community Health Units (CHU) in delivering child immunization services is a critical component of public health in urban informal settlements. In Nairobi County, CHU are ...