In the first quarter of 2025, Munich Airport recorded an impressive 8.7% increase in freight traffic – proof of the airport's continuous cargo growth and Munich's increasing importance ...

The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific disciplines.

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...

To make ALS applicable to logistic regression, we introduce an auxiliary function derived from Pólya-Gamma augmentation, allowing logistic loss to be minimized as a weighted squared loss. We apply the ...

This paper examines customers’ online shopping behavior and its relationship to purchase decisions. There are two research questions for the paper: 1) How can marketers segment prior customers’ online ...

Logistic Regression, while reliable, showed comparatively lower performance. These findings underscore the effectiveness of machine learning in enhancing diagnostic accuracy for coronary heart disease ...