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

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Example 39.9: Conditional Logistic Regression for Matched Pairs Data In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of ...

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

Informal and nontechnical, this book both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using the SAS System. Several social ...

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.

Motivated by these problems, we propose a new type of multivariate logistic distribution that can be used to construct a likelihood for multivariate logistic regression analysis of binary and ...