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

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.

There are many other techniques for binary classification, but logistic regression was one of the earliest developed and the technique is considered a fundamental machine learning skill for data ...

Logistic regression with binary and multinomial outcomes is commonly used, and researchers have long searched for an interpretable measure of the strength of a particular logistic model. This article ...

S. Le Cessie, J. C. Van Houwelingen, Ridge Estimators in Logistic Regression, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 41, No. 1 ...

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