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

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

Logistic regression. In logistics regression, you can use machine learning to help predict the probability of the outcome of a situation with two potentials.

Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.

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 ...

We used logistic regression as a method of sensitivity analysis for a stochastic population viability analysis model of African wild dogs (Lycaon pictus) and compared these results with conventional ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.