Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...

Logistic regression is a widely applied tool for the analysis of binary response variables. Several test statistics have been proposed for the purpose of assessing the goodness of fit of the logistic ...

Theoretical and Empirical Researches in Urban Management, Vol. 16, No. 1 (February 2021), pp. 5-19 (15 pages) Tourism seasonality is a complex phenomenon ranked as one of the most important and ...

The course will end with a brief introduction to regression involving binary response variables (Yes/No or 0/1 outcomes) using logistic regression and count response variables (whole numbers) using ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

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.