How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Scientific Research Publishing

Allison, P.D. (1999) Logistic Regression Using the SAS system: Theory and Application. SAS Institute Inc., Cary.

ABSTRACT: The main objective of this study is to identify the factors that contribute to adolescent childbearing and to examine to what extent these factors influence adolescent fertility of women in ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

Frequentist Model Averaging for Global Fréchet Regression

Abstract: To consider model uncertainty in global Fréchet regression and improve density response prediction, we propose a frequentist model averaging method. The weights are chosen by minimizing a ...
IEEE

A Comparative Analysis of Logistic Regression and Decision Trees for Mortality Risk Prediction using Laboratory Data

Abstract: Predicting clinical outcomes, particularly mortality risk, is a crucial aspect of patient care and management in the medical field. Numerous studies have employed various methods to improve ...
Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...