IEEE

Prediction of Employee Attrition Classification and Retention Strategies Using Gradient Boosting with Binary Logistic Regression

Abstract: A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention.
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Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning ...
Frontiers

Predicting cognitive impairment in Parkinson’s disease: a machine learning approach based on clinical and neuropsychological data

Background: Cognitive impairment is a common and disabling non-motor symptom of Parkinson’s disease, markedly diminishing quality of life and elevating caregiver burden. Although considerable research ...
IEEE

Research on Tennis Match Momentum Prediction Based on Logistic Regression and GBDT Model

Abstract: Tennis is a complex sport where shifts in match momentum can dramatically alter the outcome of games. This paper aims to predict changes in momentum during tennis matches using Logistic ...