The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

This paper presents techniques for segmentation and change classification using logistic regression. The research was conducted on SPOT 5 multispectral multitemporal images covering the 2010 floods in ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

A Random Forest model can be compared to a Logistic Regression in heart axis classification with a greater accuracy, recall, and precision. The better performance reflects the Random Forest model as a ...