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.

Although Cox and logistic regression models have been compared previously in cohort studies, this work does not completely cover the GWAS setting nor extend to the case-cohort study design.

Mixed Effects Logistic Regression Models for Multiple Longitudinal Binary Functional Limitation Responses with Informative Drop-Out and Confounding by Baseline Outcomes Thomas R. Ten Have, Beth A.

Rohan Kumar, R. Anbalagan, Landslide susceptibility zonation of Tehri reservoir rim region using binary logistic regression model, Current Science, Vol. 108, No. 9 (10 May 2015), pp. 1662-1672 ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

Purpose To collect data for the development of a more universally useful logistic regression model to distinguish between a malignant and benign adnexal tumor before surgery. Patients and Methods ...