IEEE

Developing a Logistic Regression Model for Predicting Chronic Kidney Disease

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and offline models, but with some limits. Microsoft has been pushing hard to make ...
IEEE

Gender Classification Using K-Nearest Neighbors and Logistic Regression Models

Abstract: This work provides a hybrid model for gender identification integrating face features with logistic regression with K-Nearest Neighbors. The model reached an amazing accuracy of 96% with a ...
GitHub

STSR: Interpretable Symbolic Regression for Spatio-Temporal Traffic Prediction

This repository hosts the source code, datasets, supplementary materials, and the full appendix for the paper: Interpretable Symbolic Regression for Spatio-Temporal Traffic Prediction Mingxi Li, ...