Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

This study presents data on sex differences in gene expression across organs of four mice taxa. The authors have generated a unique and convincing dataset that fills a gap left by previous studies.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Sodium transporters maintain cellular homeostasis by transporting ions, minerals, and ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment ...

Abstract: This paper presents a binary classification model aimed at predicting whether a football player is best suited for an offensive or defensive position based on their skill set. The study ...

Abstract: We address the pressing issue of food waste by proposing a robust image classification model that can reliably detect rotten fruits. More than half of the fruit yield is lost along the ...

This repository contains the implementation of a binary classification model for predicting survival outcomes in lung cancer patients from German cancer registry data. The project is part of the ...