IEEE

Ordinal Logistic Regression Model for Predicting Employee Satisfaction from Organizational Climate

Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...
IEEE

Research on the Enhancement and Improvement of Logistic Regression Models

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
GitHub

Infosys Model Inference Library

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
Indiatimes

Oracle founder Larry Ellison explains two types of AI models, uses Elon Musk’s Tesla as example of ‘low-latency’ intelligence

Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...
Frontiers

Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models

Department of Orthopedics, Shanxi Bethune Hospital, Tongji Shanxi Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China Background and aim: ...
GitHub

logistic-regression-models

Add a description, image, and links to the logistic-regression-models topic page so that developers can more easily learn about it.