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 ...
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 ...
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, ...