Assessing a binary regression model based on ungrouped data is a commonly encountered but very challenging problem. Although tests, such as Hosmer–Lemeshow test and le Cessie–van Houwelingen test, ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

A collection of academic projects from my time at the University of Algiers 1, covering social network analysis, data visualization, formal languages, binary logistic regression, and statistical ...

Human Action Classification using Binary Logistic Regression with Custom Implementation This repository contains a custom implementation of a Logistic Regression model to classify human actions across ...

A binary logistic regression model was constructed using the training dataset, followed by validation using the test dataset. Additionally, the receiver operating characteristic (ROC) curve and ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.